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Diagnosis of Unbalance in Lightweight Rotating Machines Using a Recurrent Neural Network Suitable for an Edge-Computing Framework

https://doi.org/10.1007/s40313-021-00893-9
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-319-27131-6openalex-snapshot
Computational Design of Rolling Bearings
inferredcites →https://doi.org/10.1007/s40313-021-00780-3openalex-snapshot
Bearing Damage Analysis with Artificial Intelligence Algorithms
inferredcites →https://doi.org/10.1016/j.compind.2018.04.015openalex-snapshot
The industrial internet of things (IIoT): An analysis framework
inferredcites →https://doi.org/10.1016/j.engappai.2020.103678openalex-snapshot
Potential, challenges and future directions for deep learning in prognostics and health management applications
inferredcites →https://doi.org/10.1016/j.eswa.2019.04.037openalex-snapshot
A novel robust kernel for classifying high-dimensional data using Support Vector Machines
inferredcites →https://doi.org/10.1016/j.physd.2019.132306openalex-snapshot
Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) network
inferredcites →https://doi.org/10.1109/access.2018.2825538openalex-snapshot
LSTM-Based Analysis of Industrial IoT Equipment
inferredcites →https://doi.org/10.1109/access.2020.2972859openalex-snapshot
Deep Learning Algorithms for Bearing Fault Diagnostics—A Comprehensive Review
inferredcites →https://doi.org/10.1109/access.2020.2990528openalex-snapshot
Bearing Fault Detection and Diagnosis Using Case Western Reserve University Dataset With Deep Learning Approaches: A Review
inferredcites →https://doi.org/10.1109/access.2020.3000856openalex-snapshot
An Effective Stator Fault Diagnosis Framework of BLDC Motor Based on Vibration and Current Signals
inferredcites →https://doi.org/10.1109/icccn.2019.8846936openalex-snapshot
Towards Online Deep Learning-Based Energy Forecasting
inferredcites →https://doi.org/10.1109/icnte51185.2021.9487715openalex-snapshot
Motor Current Signature Analysis for Fault Detection of Induction Machine–A Review
inferredcites →https://doi.org/10.1109/jetcas.2020.3040300openalex-snapshot
EdgeDRNN: Recurrent Neural Network Accelerator for Edge Inference
inferredcites →https://doi.org/10.1109/jiot.2020.3011726openalex-snapshot
Deep Anomaly Detection for Time-Series Data in Industrial IoT: A Communication-Efficient On-Device Federated Learning Approach
inferredcites →https://doi.org/10.1109/jiot.2021.3098973openalex-snapshot
Automatic Distributed Deep Learning Using Resource-Constrained Edge Devices
inferredcites →https://doi.org/10.1109/tase.2019.2913628openalex-snapshot
An Industrial Internet Application for Real-Time Fault Diagnosis in Industrial Motors
inferredcites →https://doi.org/10.1109/taslp.2017.2672398openalex-snapshot
Nonrecurrent Neural Structure for Long-Term Dependence
inferredcites →https://doi.org/10.1109/tie.2018.2866050openalex-snapshot
Multiple Wavelet Coefficients Fusion in Deep Residual Networks for Fault Diagnosis
inferredcites →https://doi.org/10.1109/tii.2020.2991796openalex-snapshot
Deep-Convolution-Based LSTM Network for Remaining Useful Life Prediction
inferredcites →https://doi.org/10.1109/tii.2020.3008711openalex-snapshot
Edge-Cloud Computing for IoT Data Analytics: Embedding Intelligence in the Edge with Deep Learning
inferredcites →https://doi.org/10.1109/tim.2020.3030165openalex-snapshot
Critical Wind Turbine Components Prognostics: A Comprehensive Review
inferredcites →https://doi.org/10.1109/tnnls.2016.2582924openalex-snapshot
LSTM: A Search Space Odyssey
inferredcites →https://doi.org/10.1109/tnnls.2019.2910302openalex-snapshot
Recurrent Neural Networks With External Addressable Long-Term and Working Memory for Learning Long-Term Dependences
inferredcites →https://doi.org/10.11114/set.v8i1.5213openalex-snapshot
Rotor Unbalance Kind and Severity Identification by Current Signature Analysis with Adaptative Update to Multiclass Machine Learning Algorithms
inferredcites →https://doi.org/10.1162/neco_a_01199openalex-snapshot
A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures
inferredcites →https://doi.org/10.1177/1077546319841495openalex-snapshot
Integrated condition monitoring scheme for bearing fault diagnosis of a wind turbine gearbox
inferredcites →https://doi.org/10.1177/1077546320929830openalex-snapshot
Diagnosis of rotating machine unbalance using machine learning algorithms on vibration orbital features
inferredcites →https://doi.org/10.28991/esj-2020-sp1-01openalex-snapshot
Integration of Next Generation IIoT with Blockchain for the Development of Smart Industries
inferredcites →https://doi.org/10.3390/s19143109openalex-snapshot
A Low-Delay Lightweight Recurrent Neural Network (LLRNN) for Rotating Machinery Fault Diagnosis

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4765198openalex-extracted
Deep Learning Based Approaches for Intelligent Industrial Machineryhealth Management & Fault Diagnosis in Resource-Constrainedenvironments
inferred← citeshttps://doi.org/10.1007/s00170-026-17631-7openalex-snapshot
Precision fault diagnosis in screw compressors using ANN
inferred← citeshttps://doi.org/10.1007/s10489-024-06118-1openalex-snapshot
Comparative study on ballistic impact detection in helicopter transmission shafts using NARX and LSTM models
inferred← citeshttps://doi.org/10.1007/s11831-022-09727-6openalex-snapshot
Predictive Monitoring of Incipient Faults in Rotating Machinery: A Systematic Review from Data Acquisition to Artificial Intelligence
inferred← citeshttps://doi.org/10.1016/j.apenergy.2023.120980openalex-snapshot
Short- and long-term forecasting for building energy consumption considering IPMVP recommendations, WEO and COP27 scenarios
inferred← citeshttps://doi.org/10.1016/j.asoc.2025.114487openalex-snapshot
Fault diagnosis in rotating machinery with discretized signal representation leveraging large language models
inferred← citeshttps://doi.org/10.1016/j.ijmecsci.2025.110444openalex-snapshot
Fault diagnosis based on deep transfer learning for marine turbocharger
inferred← citeshttps://doi.org/10.1016/j.neucom.2025.129588openalex-snapshot
Data-driven machinery fault diagnosis: A comprehensive review
inferred← citeshttps://doi.org/10.1016/j.procs.2025.01.281openalex-snapshot
Edge, Fog and Cloud Computing framework for flexible production
inferred← citeshttps://doi.org/10.1038/s41598-024-79151-2openalex-snapshot
Deep learning based approaches for intelligent industrial machinery health management and fault diagnosis in resource-constrained environments
inferred← citeshttps://doi.org/10.1080/08839514.2026.2690786openalex-snapshot
Multi-Fault Diagnosis Using Lightweight Machine Learning Techniques for Rotordynamics Analysis in Multi-Domain
inferred← citeshttps://doi.org/10.1080/20464177.2024.2435708openalex-snapshot
Marine propulsion shafting-oriented status detection algorithm for uncertainty time-varying
inferred← citeshttps://doi.org/10.1088/1361-6501/ac8a08openalex-snapshot
Soft-margin hyperdisk tensor machine and its application to the intelligent fault diagnosis of rotating machinery
inferred← citeshttps://doi.org/10.1108/ec-06-2024-0541openalex-snapshot
Stacking deep learning models to analyse vibration and current signatures in rotating machinery
inferred← citeshttps://doi.org/10.1109/access.2023.3281910openalex-snapshot
Impact of Deep Learning Optimizers and Hyperparameter Tuning on the Performance of Bearing Fault Diagnosis
inferred← citeshttps://doi.org/10.1109/access.2024.3426279openalex-snapshot
A Survey of Industrial AIoT: Opportunities, Challenges, and Directions
inferred← citeshttps://doi.org/10.1109/iemdc60492.2025.11061031openalex-snapshot
Improvements in Stacking Deep Learning Models for Current and Vibration Signature Analysis in Rotating Machines
inferred← citeshttps://doi.org/10.1109/jiot.2023.3239944openalex-snapshot
Edge Computing on IoT for Machine Signal Processing and Fault Diagnosis: A Review
inferred← citeshttps://doi.org/10.1109/tii.2023.3243929openalex-snapshot
Restricted Sparse Networks for Rolling Bearing Fault Diagnosis
inferred← citeshttps://doi.org/10.1177/09574565251382125openalex-snapshot
Investigation of unbalance fault using signature analysis and the taguchi method
inferred← citeshttps://doi.org/10.3390/a16010009openalex-snapshot
A Review on Data-Driven Condition Monitoring of Industrial Equipment
inferred← citeshttps://doi.org/10.3390/s23031305openalex-snapshot
Deep Learning Techniques in Intelligent Fault Diagnosis and Prognosis for Industrial Systems: A Review
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