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A Systematic Review on Imbalanced Learning Methods in Intelligent Fault Diagnosis
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inferredcites →https://doi.org/10.1016/j.eswa.2018.02.017openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.measurement.2021.109565openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.measurement.2022.110924openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.measurement.2022.111045openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.mechmachtheory.2021.104635openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.neucom.2019.06.100openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.neucom.2020.07.088openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.neunet.2018.07.011openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.renene.2020.10.121openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.ymssp.2016.06.024openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.ymssp.2016.10.034openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.ymssp.2018.05.050openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.ymssp.2019.106441openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.ymssp.2019.106587openalex-snapshot
Applications of machine learning to machine fault diagnosis: A review and roadmap
inferredcites →https://doi.org/10.1016/j.ymssp.2019.106608openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.ymssp.2021.107645openalex-snapshot
Transferable common feature space mining for fault diagnosis with imbalanced data
inferredcites →https://doi.org/10.1016/j.ymssp.2021.108139openalex-snapshot
Data synthesis using deep feature enhanced generative adversarial networks for rolling bearing imbalanced fault diagnosis
inferredcites →https://doi.org/10.1016/j.ymssp.2021.108487openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.ymssp.2021.108697openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.ymssp.2022.108826openalex-snapshot
Normalized Conditional Variational Auto-Encoder with adaptive Focal loss for imbalanced fault diagnosis of Bearing-Rotor system
inferredcites →https://doi.org/10.1016/j.ymssp.2022.108903openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.ymssp.2022.109174openalex-snapshot
Contrastive-weighted self-supervised model for long-tailed data classification with vision transformer augmented
inferredcites →https://doi.org/10.1021/acs.iecr.9b06298openalex-snapshot
Fault Detection with Data Imbalance Conditions Based on the Improved Bilayer Convolutional Neural Network
inferredcites →https://doi.org/10.1049/hve2.12059openalex-snapshot
Power transformer fault diagnosis considering data imbalance and data set fusion
inferredcites →https://doi.org/10.1051/matecconf/202235503034openalex-snapshot
Research on intelligent diagnostic techniques for rolling bearings based on unbalanced data sets
inferredcites →https://doi.org/10.1063/5.0057059openalex-snapshot
Imbalanced data fault diagnosis of hydrogen sensors using deep convolutional generative adversarial network with convolutional neural network
inferredcites →https://doi.org/10.1080/00207721.2013.775378openalex-snapshot
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inferredcites →https://doi.org/10.1080/15567036.2022.2087804openalex-snapshot
Stacking ensemble based fault diagnosis approach for improved operation of photovoltaic arrays
inferredcites →https://doi.org/10.1088/1361-6501/ab230bopenalex-snapshot
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inferredcites →https://doi.org/10.1088/1361-6501/ab3072openalex-snapshot
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inferredcites →https://doi.org/10.1088/1361-6501/ab55f8openalex-snapshot
Enhanced data-driven fault diagnosis for machines with small and unbalanced data based on variational auto-encoder
inferredcites →https://doi.org/10.1088/1361-6501/ac05f5openalex-snapshot
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inferredcites →https://doi.org/10.1088/1361-6501/ac18d2openalex-snapshot
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inferredcites →https://doi.org/10.1088/1361-6501/ac3627openalex-snapshot
Scale adaptive subdomain matching network for bearing fault diagnosis
inferredcites →https://doi.org/10.1088/1361-6501/ac3945openalex-snapshot
Generative adversarial network and transfer-learning-based fault detection for rotating machinery with imbalanced data condition
inferredcites →https://doi.org/10.1088/1361-6501/ac85d4openalex-snapshot
Bearing fault diagnosis based on partial domain adaptation adversarial network
inferredcites →https://doi.org/10.1088/1742-6596/1087/4/042061openalex-snapshot
Research of Fault Diagnosis of Rolling Bearing Based on Wavelet Packet and FSVM
inferredcites →https://doi.org/10.1088/1757-899x/1043/5/052034openalex-snapshot
A Fault Diagnosis Method based on Improved Synthetic Minority Oversampling Technique and SVM for Unbalanced Data
inferredcites →https://doi.org/10.1109/72.286891openalex-snapshot
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inferredcites →https://doi.org/10.1109/access.2017.2774261openalex-snapshot
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inferredcites →https://doi.org/10.1109/access.2018.2807121openalex-snapshot
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inferredcites →https://doi.org/10.1109/access.2019.2917604openalex-snapshot
Generative Adversarial Networks Selection Approach for Extremely Imbalanced Fault Diagnosis of Reciprocating Machinery
inferredcites →https://doi.org/10.1109/access.2019.2919406openalex-snapshot
Diagnosis of Rolling Bearing Based on Classification for High Dimensional Unbalanced Data
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Data Fusion Generative Adversarial Network for Multi-Class Imbalanced Fault Diagnosis of Rotating Machinery
inferredcites →https://doi.org/10.1109/access.2020.2986419openalex-snapshot
Deep Cost Adaptive Convolutional Network: A Classification Method for Imbalanced Mechanical Data
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Deep Neural Network Ensemble for the Intelligent Fault Diagnosis of Machines Under Imbalanced Data
inferredcites →https://doi.org/10.1109/access.2020.3030058openalex-snapshot
Imbalanced Fault Diagnosis of Rolling Bearing Using Enhanced Generative Adversarial Networks
inferredcites →https://doi.org/10.1109/access.2021.3058334openalex-snapshot
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inferredcites →https://doi.org/10.1109/access.2021.3071796openalex-snapshot
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inferredcites →https://doi.org/10.1109/access.2021.3074929openalex-snapshot
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inferredcites →https://doi.org/10.1109/bigdata.2017.8258307openalex-snapshot
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inferredcites →https://doi.org/10.1109/cac51589.2020.9327104openalex-snapshot
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inferredcites →https://doi.org/10.1109/codit55151.2022.9803941openalex-snapshot
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inferredcites →https://doi.org/10.1109/cscwd49262.2021.9437742openalex-snapshot
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inferredcites →https://doi.org/10.1109/cse53436.2021.00013openalex-snapshot
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inferredcites →https://doi.org/10.1109/cvpr.2017.428openalex-snapshot
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inferredcites →https://doi.org/10.1109/ei247390.2019.9062111openalex-snapshot
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inferredcites →https://doi.org/10.1109/glocom.2017.8254569openalex-snapshot
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inferredcites →https://doi.org/10.1109/iccss52145.2020.9336899openalex-snapshot
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inferredcites →https://doi.org/10.1109/iccv.2019.00467openalex-snapshot
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inferredcites →https://doi.org/10.1109/iccv.2019.00657openalex-snapshot
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inferredcites →https://doi.org/10.1109/icempe51623.2021.9509056openalex-snapshot
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inferredcites →https://doi.org/10.1109/icites53477.2021.9637101openalex-snapshot
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inferredcites →https://doi.org/10.1109/icmla.2009.18openalex-snapshot
Feature Selection with Imbalanced Data for Software Defect Prediction
inferredcites →https://doi.org/10.1109/icphm.2018.8448394openalex-snapshot
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inferredcites →https://doi.org/10.1109/icphm53196.2022.9815711openalex-snapshot
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inferredcites →https://doi.org/10.1109/icsmd50554.2020.9261750openalex-snapshot
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inferredcites →https://doi.org/10.1109/icsrs48664.2019.8987602openalex-snapshot
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inferredcites →https://doi.org/10.1109/iecon.2015.7392241openalex-snapshot
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inferredcites →https://doi.org/10.1109/indin41052.2019.8972316openalex-snapshot
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inferredcites →https://doi.org/10.1109/isap.2005.1599256openalex-snapshot
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inferredcites →https://doi.org/10.1109/jsen.2020.3017686openalex-snapshot
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inferredcites →https://doi.org/10.1109/jsen.2021.3131166openalex-snapshot
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4765198openalex-extracted
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inferred← citeshttps://doi.org/10.2139/ssrn.6331703openalex-extracted
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inferred← citeshttps://doi.org/10.1007/978-3-030-48200-8_65-1openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-031-84477-5_65openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-981-96-2200-9_34openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s00170-025-16366-1openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10462-024-10820-4openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10489-024-05960-7openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.aei.2024.102963openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.aei.2025.103448openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.conengprac.2025.106391openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.enbuild.2024.114192openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.enbuild.2025.115531openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.energy.2025.136832openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.engappai.2023.106542openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.engappai.2023.106911openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.engappai.2023.107508openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.engappai.2024.108332openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.engappai.2025.113594openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.engappai.2026.113812openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.engappai.2026.114336openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.engappai.2026.114797openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.eswa.2023.121799openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.eswa.2024.124511openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.eswa.2025.129004openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.eswa.2025.129517openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ijepes.2023.109512openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.inffus.2024.102710openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.infsof.2025.107897openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ins.2023.119621openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ins.2025.121996openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.knosys.2024.112354openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.measurement.2024.115901openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.measurement.2024.116478openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.measurement.2024.116589openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.measurement.2025.116954openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.measurement.2025.116988openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.measurement.2025.118905openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.neucom.2024.127908openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.neucom.2024.128372openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.neucom.2024.128686openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ress.2023.109522openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ress.2025.110979openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.sigpro.2024.109806openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ymssp.2024.111115openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ymssp.2024.112108openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ymssp.2026.114300openalex-snapshot
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inferred← citeshttps://doi.org/10.1038/s41598-024-57509-wopenalex-snapshot
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inferred← citeshttps://doi.org/10.1038/s41598-024-79151-2openalex-snapshot
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inferred← citeshttps://doi.org/10.1049/gtd2.70361openalex-snapshot
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inferred← citeshttps://doi.org/10.1049/rpg2.13029openalex-snapshot
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inferred← citeshttps://doi.org/10.1061/ajrua6.rueng-1480openalex-snapshot
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inferred← citeshttps://doi.org/10.1080/10589759.2026.2737287openalex-snapshot
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inferred← citeshttps://doi.org/10.1080/23307706.2025.2563058openalex-snapshot
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inferred← citeshttps://doi.org/10.1088/1361-6501/acf0dfopenalex-snapshot
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inferred← citeshttps://doi.org/10.1088/1361-6501/acf8e8openalex-snapshot
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inferred← citeshttps://doi.org/10.1088/1361-6501/ad5905openalex-snapshot
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inferred← citeshttps://doi.org/10.1088/1361-6501/ad6e12openalex-snapshot
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inferred← citeshttps://doi.org/10.1088/1361-6501/ad7a97openalex-snapshot
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inferred← citeshttps://doi.org/10.1088/1361-6501/ad8cfeopenalex-snapshot
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inferred← citeshttps://doi.org/10.1088/1361-6501/ad8fa4openalex-snapshot
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inferred← citeshttps://doi.org/10.1088/1361-6501/ad99f4openalex-snapshot
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inferred← citeshttps://doi.org/10.1088/1361-6501/adb06aopenalex-snapshot
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inferred← citeshttps://doi.org/10.1088/2631-8695/ae795fopenalex-snapshot
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inferred← citeshttps://doi.org/10.1088/2631-8695/ae9e83openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/access.2024.3350785openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/access.2024.3365551openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/access.2024.3392422openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/access.2024.3515479openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/access.2025.3537659openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/access.2025.3591034openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/access.2025.3608032openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/access.2026.3721567openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/aiita69518.2026.11567341openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/asmc64512.2025.11010451openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/bigdata66926.2025.11402351openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/cac67268.2025.11487387openalex-snapshot
A Cost-Sensitive Autoencoder for Imbalanced Fault Diagnosis
inferred← citeshttps://doi.org/10.1109/ccnc54725.2025.10976066openalex-snapshot
Service-Centric Fault Management for 5G and Beyond Wireless Networks
inferred← citeshttps://doi.org/10.1109/cec60901.2024.10612211openalex-snapshot
A Multiobjective Particle Swarm Optimizer based Localized Feature Selection for Imbalanced Fault Diagnosis
inferred← citeshttps://doi.org/10.1109/codit66093.2025.11321756openalex-snapshot
CGAN based data generation for process monitoring
inferred← citeshttps://doi.org/10.1109/cscwd68734.2026.11581528openalex-snapshot
RSNN-FD: A Robust and Uncertainty-Aware Framework for Industrial Fault Diagnosis
inferred← citeshttps://doi.org/10.1109/ddcls66240.2025.11065686openalex-snapshot
Multi-domain Consistent Augmentation via Diffusion Models for Imbalanced Time Series Classification
inferred← citeshttps://doi.org/10.1109/icaace61206.2024.10548869openalex-snapshot
Novel ACGAN-Based Framework Fault Detection Technique for Unbalanced Data
inferred← citeshttps://doi.org/10.1109/icemi66537.2025.11306820openalex-snapshot
A Novel Data Generation Method Based on VMD and Ada-Con-DDPM for RF Front-end Fault Diagnosis Under Imbalanced Data
inferred← citeshttps://doi.org/10.1109/icetac70565.2026.11636113openalex-snapshot
Research on Industrial Equipment Fault Prediction Model Based on BP Artificial Neural Network
inferred← citeshttps://doi.org/10.1109/icitr64794.2024.10857748openalex-snapshot
Improving Class Imbalance in the Classification of Multi-Dimensional Data: Interpretable Model Design and Evaluation
inferred← citeshttps://doi.org/10.1109/icsece65727.2025.11256938openalex-snapshot
Research on intelligent diagnosis method of rare faults in distribution network based on small sample learning
inferred← citeshttps://doi.org/10.1109/icsmd67131.2025.11365393openalex-snapshot
Wafid:Wavelet-Augmented and Multi-Source Fused Imbalance-Aware Dual-Branch Network for Industrial Diagnostics
inferred← citeshttps://doi.org/10.1109/ijcnn60899.2024.10649959openalex-snapshot
A Multi-task Learning Governed Temporal Convolutional Network for Predicting Rare HVAC Compressor Faults
inferred← citeshttps://doi.org/10.1109/iscsic67494.2025.11351953openalex-snapshot
A Deep Slow Feature-Based Multi-Source Information Fusion Model for Fault Diagnosis of Rotating Machines
inferred← citeshttps://doi.org/10.1109/jiot.2024.3387538openalex-snapshot
Knowledge and Data Dual-Driven Fault Diagnosis in Industrial Scenarios: A Survey
inferred← citeshttps://doi.org/10.1109/jiot.2024.3387741openalex-snapshot
Knowledge Distillation-Guided Cost-Sensitive Ensemble Learning Framework for Imbalanced Fault Diagnosis
inferred← citeshttps://doi.org/10.1109/jiot.2025.3597349openalex-snapshot
Foundation-Model-Based Federated Learning for Intrusion Detection in Drone-Aided Industrial IoT
inferred← citeshttps://doi.org/10.1109/jiot.2025.3610143openalex-snapshot
Semantics-Consistent Representation Learning for Industrial Fault Diagnosis in Unseen Domains
inferred← citeshttps://doi.org/10.1109/jiot.2026.3652856openalex-snapshot
DECDAF: Dual-Level Entropy-Aware Consensus Domain Adversarial Framework for Open-Set Fault Diagnosis
inferred← citeshttps://doi.org/10.1109/joe.2026.3674398openalex-snapshot
Intelligent Anomaly Detection for Hydraulic System in Deep-Sea Submersible
inferred← citeshttps://doi.org/10.1109/jsen.2024.3480135openalex-snapshot
Fault Diagnosis Method for Rolling Bearing Based on Probabilistic Diffusion Models Under Imbalanced Data
inferred← citeshttps://doi.org/10.1109/jsen.2024.3493103openalex-snapshot
Normalized Feature Energy-Guided Adaptive Frequency Band Division Method for Wheelset Bearing Compound Fault Detection
inferred← citeshttps://doi.org/10.1109/jsen.2025.3555651openalex-snapshot
Detection of Railway Wheel Flat Based on CBAM-Enhanced ResNet for Imbalanced Data
inferred← citeshttps://doi.org/10.1109/jsen.2026.3661375openalex-snapshot
A New Adaptive Geometric SMOTE for Bearing Imbalanced Fault Diagnosis
inferred← citeshttps://doi.org/10.1109/mind67540.2025.11351785openalex-snapshot
LLM-MTPSO: Large Language Model-Assisted Multi-Task Particle Swarm Optimization for Imbalanced Classification
inferred← citeshttps://doi.org/10.1109/phm-beijing63284.2024.10874644openalex-snapshot
Markov Latent Frequency Transition Analysis for Robust Bearing Diagnosis in Transient Noise Scenarios
inferred← citeshttps://doi.org/10.1109/phm-beijing63284.2024.10874800openalex-snapshot
Bearing Domain Adversarial Fault Diagnosis Method Based on Wasserstein Distance Driven by Digital Twin
inferred← citeshttps://doi.org/10.1109/phm-hangzhou58797.2023.10482577openalex-snapshot
Imbalanced Fault Diagnosis Based on Supervised Prototypical Contrastive Network
inferred← citeshttps://doi.org/10.1109/rcae62637.2024.10834240openalex-snapshot
An Adaptive Reweighting Method Based on the Effective Area for Fault Severity Classification under Class Imbalance
inferred← citeshttps://doi.org/10.1109/saner60148.2024.00062openalex-snapshot
On the Stability and Applicability of Deep Learning in Fault Localization
inferred← citeshttps://doi.org/10.1109/tdei.2024.3421915openalex-snapshot
Optimized Synthetic Data Integration With Transformer’s DGA Data for Improved ML-Based Fault Identification
inferred← citeshttps://doi.org/10.1109/tdei.2025.3581917openalex-snapshot
Enhancing Transformer Fault Identification With Deep Learning by Integrating Modified SMOTE With Novel Synthetic Data Generation
inferred← citeshttps://doi.org/10.1109/tfuzz.2026.3673953openalex-snapshot
FARCI+: Enhancing Fuzzy Rule-Based Classification for Imbalanced Problems via Choquet Integral Generalizations and Support Tuning
inferred← citeshttps://doi.org/10.1109/tg.2024.3435339openalex-snapshot
Biosignal Contrastive Representation Learning for Emotion Recognition of Game Users
inferred← citeshttps://doi.org/10.1109/tie.2025.3649877openalex-snapshot
NaCdNet: A Cross-Condition Fault Diagnosis Method for Railway Track Circuit Based on Real-Time Style Transfer
inferred← citeshttps://doi.org/10.1109/tii.2024.3397401openalex-snapshot
Multiscale Channel Attention-Driven Graph Dynamic Fusion Learning Method for Robust Fault Diagnosis
inferred← citeshttps://doi.org/10.1109/tii.2024.3441645openalex-snapshot
Brownian Distance Covariance-Based Few-Shot Learning Framework Considering Noisy Labels for Fault Diagnosis of Train Transmission Systems
inferred← citeshttps://doi.org/10.1109/tii.2024.3523570openalex-snapshot
Motor Fault Diagnosis Based on Generative Adversarial Network Using Hyperchaotic Sequences and Mixed-Dimensional Network
inferred← citeshttps://doi.org/10.1109/tim.2023.3271746openalex-snapshot
Few-Shot GAN: Improving the Performance of Intelligent Fault Diagnosis in Severe Data Imbalance
inferred← citeshttps://doi.org/10.1109/tim.2023.3284131openalex-snapshot
A Novel Domain Adaptive Fault Diagnosis Method for Bearings Based on Unbalance Data Generation
inferred← citeshttps://doi.org/10.1109/tim.2023.3302387openalex-snapshot
Load Profile Analysis in Electrical Systems: The Impact of Electrical Signature and Monitoring Quality in the Energy Digitalization Process
inferred← citeshttps://doi.org/10.1109/tim.2023.3310069openalex-snapshot
Generative Adversarial Network With Dual Multiscale Feature Fusion for Data Augmentation in Fault Diagnosis
inferred← citeshttps://doi.org/10.1109/tim.2023.3311062openalex-snapshot
Data Augmentation Fault Diagnosis Method Based on Residual Mixed Self-Attention for Rolling Bearings Under Imbalanced Samples
inferred← citeshttps://doi.org/10.1109/tim.2023.3343775openalex-snapshot
An Investigation Into the Behavior of Intelligent Fault Diagnostic Models Under Imbalanced Data
inferred← citeshttps://doi.org/10.1109/tim.2024.3374322openalex-snapshot
A Unified Label Noise-Tolerant Framework of Deep Learning-Based Fault Diagnosis via a Bounded Neural Network
inferred← citeshttps://doi.org/10.1109/tim.2024.3375951openalex-snapshot
A Fast and Accurate Lempel–Ziv Complexity Indicator Based on Data Compression and Multiscale Coding for Recognition of Bearing Fault Severity
inferred← citeshttps://doi.org/10.1109/tim.2024.3428618openalex-snapshot
Multidomain Class-Imbalance Generalization With Fault Relationship-Induced Augmentation for Intelligent Fault Diagnosis
inferred← citeshttps://doi.org/10.1109/tim.2024.3449958openalex-snapshot
Noise-Reduced Anomaly Attention Transformer for Intelligent Microscale Defects Detection in Metal Materials
inferred← citeshttps://doi.org/10.1109/tim.2024.3451601openalex-snapshot
Multilevels Domain Alignment Adaptation-Based Transfer Fault Diagnosis Method for Different Machines
inferred← citeshttps://doi.org/10.1109/tim.2024.3457923openalex-snapshot
Intelligent Cross-Working Condition Fault Detection and Diagnosis Using Isolation Forest and Adversarial Discriminant Domain Adaptation
inferred← citeshttps://doi.org/10.1109/tim.2024.3470985openalex-snapshot
A Fuzzy Confusion Matrix-Based Self-Supervised Learning Method to Mitigate Class Confusion for Partial Transfer Fault Diagnosis
inferred← citeshttps://doi.org/10.1109/tim.2025.3527598openalex-snapshot
A Novel Bearing Fault Data Generation Strategy Combining Physical Modeling and CycleGAN Variant for Fault Diagnosis Without Real Samples
inferred← citeshttps://doi.org/10.1109/tim.2025.3527612openalex-snapshot
A Self-Supervised Multiview Contrastive Learning Network for the Fault Diagnosis of Rotating Machinery Under Limited Annotation Information
inferred← citeshttps://doi.org/10.1109/tim.2025.3529050openalex-snapshot
Dissolved Gas Analysis Using Knowledge-Filtered Oversampling-Based Diverse Stack Learning
inferred← citeshttps://doi.org/10.1109/tim.2025.3529568openalex-snapshot
Global Convolutional Network and Sample Weighted Loss for the Robust Gear Fault Diagnosis of Reciprocating Manipulator
inferred← citeshttps://doi.org/10.1109/tim.2025.3529577openalex-snapshot
A Systematic Review of Multisensor Information Fusion for Equipment Fault Diagnosis
inferred← citeshttps://doi.org/10.1109/tim.2025.3533640openalex-snapshot
Real-Time Prewarning System for Petroleum Pipeline Landslide Prediction Based on Imbalanced Machine Learning Methods With Finite Element Analysis
inferred← citeshttps://doi.org/10.1109/tim.2025.3545721openalex-snapshot
Data Augmentation Fault Diagnosis of Rolling Machinery Using Condition Denoising Diffusion Probabilistic Model and Improved CNN
inferred← citeshttps://doi.org/10.1109/tim.2025.3548772openalex-snapshot
MMEVAE: A Time-Varying Rolling Bearing Data Enhancement Method Based on a Multimodal Mechanism Enhanced Variational Autoencoder and Self-Attention Module
inferred← citeshttps://doi.org/10.1109/tim.2025.3548795openalex-snapshot
Intelligent Health Inspection for Road Multipart Covers Based on Vibration Feature Encoding and Denoising Diffusion Model
inferred← citeshttps://doi.org/10.1109/tim.2025.3554886openalex-snapshot
Contribution Imbalance and the Improvement Method in Multisensor Information Fusion-Based Intelligent Fault Diagnosis of Rotating Machinery
inferred← citeshttps://doi.org/10.1109/tim.2025.3556215openalex-snapshot
Regularized Stable Convolutional Generative Adversarial Network for Imbalanced Fault Diagnosis
inferred← citeshttps://doi.org/10.1109/tim.2025.3566852openalex-snapshot
Enhanced Open-Circuit Fault Diagnosis in T-Type Inverters Using Conditional Virtual Sample Generation
inferred← citeshttps://doi.org/10.1109/tim.2025.3573363openalex-snapshot
Integration of LSTM and U-Net Models for Monitoring Electrical Absorption With a System of Sensors and Electronic Circuits
inferred← citeshttps://doi.org/10.1109/tim.2025.3579828openalex-snapshot
Test Optimization Selection for Fault Detection and Isolation Under Multivariable and Multifault Scenarios
inferred← citeshttps://doi.org/10.1109/tim.2025.3580790openalex-snapshot
Intelligent Fault Diagnosis for Battery Packs Using FCE-GCN: Addressing the Challenges of Class Imbalance and Feature Similarity
inferred← citeshttps://doi.org/10.1109/tim.2025.3632452openalex-snapshot
Prior-Guided Adjustable Input Weighted Extreme Learning Machine for Imbalanced Fault Diagnosis Under Noise Interference
inferred← citeshttps://doi.org/10.1109/tim.2025.3650272openalex-snapshot
Ada-CDDPM: A Novel AIGC Method for RF Front-End Fault Diagnosis Under Imbalanced Data
inferred← citeshttps://doi.org/10.1109/tim.2026.3655916openalex-snapshot
Self-Distillation-Based Domain Weighted Generalization Method for Fault Diagnosis Under Actual Unseen Working Conditions
inferred← citeshttps://doi.org/10.1109/tim.2026.3701182openalex-snapshot
Dual-Path Attention Mechanism for Long-Tailed Classification of Genitourinary Syndrome of Menopause in OCT Images
inferred← citeshttps://doi.org/10.1109/tkde.2025.3606036openalex-snapshot
Rethinking Oversampling With Class Alliance Constraints From Data Complexity Perspective
inferred← citeshttps://doi.org/10.1109/tmech.2023.3312935openalex-snapshot
CCFT: The Convolution and Cross-Fusion Transformer for Fault Diagnosis of Bearings
inferred← citeshttps://doi.org/10.1109/tmech.2025.3647466openalex-snapshot
Uncertainty-Aware Hybrid Estimation Architecture for Generalized Vehicle Lateral State Monitoring
inferred← citeshttps://doi.org/10.1109/tmech.2026.3714655openalex-snapshot
A Semisupervised Gear Fault Diagnosis Method via Collaborative Feature Enhancement and Dynamic Threshold Adaptation
inferred← citeshttps://doi.org/10.1109/tnnls.2026.3683414openalex-snapshot
Dual-Path Conditional Diffusion Model With Attribute Consistency for Zero-Shot Fault Diagnosis
inferred← citeshttps://doi.org/10.1109/tr.2024.3521335openalex-snapshot
Cross-Domain Acoustic Diagnosis Method of Rotating Machinery Based on Vibration and Acoustic Migration
inferred← citeshttps://doi.org/10.1177/09544054241289981openalex-snapshot
Extremely imbalanced data intelligent fault diagnosis of rotating impeller with improved denoising diffusion probabilistic models
inferred← citeshttps://doi.org/10.1177/14759217241256690openalex-snapshot
Long-tailed multi-domain generalization for fault diagnosis of rotating machinery under variable operating conditions
inferred← citeshttps://doi.org/10.1177/14759217251356636openalex-snapshot
ESPKARN: a multichannel framework for bearing fault diagnosis in the presence of imbalanced samples
inferred← citeshttps://doi.org/10.1177/14759217251409394openalex-snapshot
A cross-condition fault diagnosis method for rolling bearings based on multi-source domain adversarial feature fusion
inferred← citeshttps://doi.org/10.1177/14759217261447208openalex-snapshot
A transfer learning framework for cross-domain fault diagnosis of rotating machinery with imbalanced data
inferred← citeshttps://doi.org/10.1177/14759217261452561openalex-snapshot
A high-speed train gearbox imbalance fault diagnosis method based on virtual reality data generation fusion with enhanced randomness
inferred← citeshttps://doi.org/10.1177/14759217261465946openalex-snapshot
Meta-transfer domain-aligned network for small-sample cross-domain fault diagnosis of lifeboat davits under low temperatures
inferred← citeshttps://doi.org/10.21203/rs.3.rs-11087383/v1openalex-snapshot
Anomaly Detection under Class Imbalance: A Survey of Methods, Evaluation Pitfalls, and Open Challenges
inferred← citeshttps://doi.org/10.21203/rs.3.rs-5905121/v1openalex-snapshot
MSE-NERSPPNet: A Multi-Channel Framework for Bearing Fault Diagnosis in the Presence of Imbalanced Samples
inferred← citeshttps://doi.org/10.21203/rs.3.rs-9742908/v1openalex-snapshot
MAESTRO: Multi-scale Anomaly Estimation via State-Temporal Reconstruction Optimization for Aircraft Electrical Power Systems
inferred← citeshttps://doi.org/10.2139/ssrn.4855654openalex-snapshot
Global Convolutional Network and Sample Imbalance Loss for the Robust Gear Fault Diagnosis of Reciprocating Manipulator
inferred← citeshttps://doi.org/10.2139/ssrn.5356007openalex-snapshot
Innovative Data Augmentation Using Lightweight Diffusion Transformer for Imbalanced Fault Diagnosis
inferred← citeshttps://doi.org/10.2139/ssrn.5356008openalex-snapshot
Innovative Data Augmentation Using Lightweight Diffusion Transformer for Imbalanced Fault Diagnosis
inferred← citeshttps://doi.org/10.2139/ssrn.6508399openalex-snapshot
Resource-efficient class-balanced Bagging framework for rolling bearing fault diagnosis
inferred← citeshttps://doi.org/10.2139/ssrn.6865776openalex-snapshot
BearAgent: Multi-Agent Diagnosis Optimization and Uncertainty-aware Decision-Making for Bearing Health Management
inferred← citeshttps://doi.org/10.23919/ccc64809.2025.11178932openalex-snapshot
Fault Diagnosis Under Long-tailed Distribution Based on Mixed-dimensional Neural Networks and LSTM
inferred← citeshttps://doi.org/10.3390/app14031198openalex-snapshot
Multi-Scale Rolling Bearing Fault Diagnosis Method Based on Transfer Learning
inferred← citeshttps://doi.org/10.3390/asi9070132openalex-snapshot
Quality 4.0 Framework for Detecting Post-Quality-Gate Rare Failures in Automotive Manufacturing Under Extreme Class Imbalance
inferred← citeshttps://doi.org/10.3390/electronics13244872openalex-snapshot
Research on UAV Autonomous Recognition and Approach Method for Linear Target Splicing Sleeves Based on Deep Learning and Active Stereo Vision
inferred← citeshttps://doi.org/10.3390/en18010059openalex-snapshot
Wind Turbine SCADA Data Imbalance: A Review of Its Impact on Health Condition Analyses and Mitigation Strategies
inferred← citeshttps://doi.org/10.3390/machines13070563openalex-snapshot
Episodic Training and Feature Orthogonality-Driven Domain Generalization for Rotating Machinery Fault Diagnosis Under Unseen Working Conditions
inferred← citeshttps://doi.org/10.3390/math12132064openalex-snapshot
Enhancing Fault Diagnosis in Mechanical Systems with Graph Neural Networks Addressing Class Imbalance
inferred← citeshttps://doi.org/10.3390/math12233750openalex-snapshot
Anomaly Detection Based on Graph Convolutional Network–Variational Autoencoder Model Using Time-Series Vibration and Current Data
inferred← citeshttps://doi.org/10.3390/math12244032openalex-snapshot
Higher-Order Spectral Analysis and Artificial Intelligence for Diagnosing Faults in Electrical Machines: An Overview
inferred← citeshttps://doi.org/10.3390/pr12091902openalex-snapshot
Measuring Domain Shift in Vibration Signals to Improve Cross-Domain Diagnosis of Piston Aero Engine Faults
inferred← citeshttps://doi.org/10.3390/s25072328openalex-snapshot
Comprehensive Exploitation of Time- and Frequency-Domain Information for Bearing Fault Diagnosis on Imbalanced Datasets via Adaptive Wavelet-like Transform General Adversarial Network and Ensemble Learning
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