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Multitask Convolutional Neural Network With Information Fusion for Bearing Fault Diagnosis and Localization

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A New Family of Model-Based Impulsive Wavelets and Their Sparse Representation for Rolling Bearing Fault Diagnosis
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Multisensor Feature Fusion for Bearing Fault Diagnosis Using Sparse Autoencoder and Deep Belief Network
inferredcites →https://doi.org/10.1109/tmech.2017.2728371openalex-snapshot
Fault Diagnosis for Rotating Machinery Using Multiple Sensors and Convolutional Neural Networks
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Improving Computer-Aided Detection UsingConvolutional Neural Networks and Random View Aggregation
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ImageNet classification with deep convolutional neural networks
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Fault Detection Enhancement in Rolling Element Bearings via Peak‐Based Multiscale Decomposition and Envelope Demodulation
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A Fault Diagnosis Method for Rolling Bearings Based on Feature Fusion of Multifractal Detrended Fluctuation Analysis and Alpha Stable Distribution
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Rolling Bearing Fault Diagnosis Based on STFT-Deep Learning and Sound Signals
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inferredcites →https://doi.org/10.3390/s17020414openalex-snapshot
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inferredcites →https://doi.org/10.3390/s17020425openalex-snapshot
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inferredcites →https://doi.org/10.3390/s18051429openalex-snapshot
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inferredcites →https://doi.org/10.3390/s18113857openalex-snapshot
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inferredcites →https://doi.org/10.36001/phmconf.2017.v9i1.2484openalex-snapshot
Bearing Health Condition Prediction Using Deep Belief Network

What points at this work

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

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Audio Data-driven Anomaly Detection for Induction Motor Based on Generative Adversarial Networks
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Intelligent Fault Detection for Tunnel Drainage Pumps: A Case Study Based on Random Forest
inferred← citeshttps://doi.org/10.1109/fpm57590.2023.10565572openalex-snapshot
Feature Extraction and Fusion of Multi-sensor Data Method for Electromagnetic Pulse Valve Diagnosis
inferred← citeshttps://doi.org/10.1109/iccar61844.2024.10569627openalex-snapshot
Multi-Scale Feature Learning Network for Bearing fault Diagnosis with Information Fusion
inferred← citeshttps://doi.org/10.1109/iceace60673.2023.10441843openalex-snapshot
Interpretable and SSA-Based Optimization of DarkNet-19 Industrial Bearing Identification Fault Diagnosis Methods
inferred← citeshttps://doi.org/10.1109/icei52466.2021.00024openalex-snapshot
State Estimation of Energy Internet Using SCADA and PMU Data Based on Graph Convolutional Networks
inferred← citeshttps://doi.org/10.1109/icps49255.2021.9468118openalex-snapshot
Reactive Power Optimization for Voltage Stability in Energy Internet Based on Graph Convolutional Networks and Deep Q-learning
inferred← citeshttps://doi.org/10.1109/icps49255.2021.9468130openalex-snapshot
A Deep Residual Convolutional Neural Network based Bearing Fault Diagnosis with Multi-Sensor Data
inferred← citeshttps://doi.org/10.1109/icsp62122.2024.10743646openalex-snapshot
Research on the Health Status Recognition Method of High Speed Train Bearings Based on Deep Residual Shrinkage Attention Block Network Model
inferred← citeshttps://doi.org/10.1109/indin45523.2021.9557388openalex-snapshot
An Ensemble Approach for Fault Diagnosis via Continuous Learning
inferred← citeshttps://doi.org/10.1109/jiot.2023.3307127openalex-snapshot
A Real-Time Bearing Fault Diagnosis Model Based on Siamese Convolutional Autoencoder in Industrial Internet of Things
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/jsac.2023.3310098openalex-snapshot
A Masked One-Dimensional Convolutional Autoencoder for Bearing Fault Diagnosis Based on Digital Twin Enabled Industrial Internet of Things
inferred← citeshttps://doi.org/10.1109/jsen.2020.2994589openalex-snapshot
Airborne Sensor Data-Based Unsupervised Recursive Identification for UAV Flight Phases
inferred← citeshttps://doi.org/10.1109/jsen.2021.3050461openalex-snapshot
Bearing Fault Diagnosis Based on Adaptive Convolutional Neural Network With Nesterov Momentum
inferred← citeshttps://doi.org/10.1109/jsen.2021.3085995openalex-snapshot
Stage-Wise Densely Connected Network for Parameter Measurement of Two-Phase Flows
inferred← citeshttps://doi.org/10.1109/jsen.2022.3173446openalex-snapshot
Rolling Bearing Fault Diagnosis Method Base on Periodic Sparse Attention and LSTM
inferred← citeshttps://doi.org/10.1109/jsen.2022.3179740openalex-snapshot
An Intelligent Anomaly Detection Method for Rotating Machinery Based on Vibration Vectors
inferred← citeshttps://doi.org/10.1109/jsen.2023.3309630openalex-snapshot
Degradation Indicator Construction Using Dual-Class Component Feature Fusion Recalibration for Bearing Performance Evaluation
inferred← citeshttps://doi.org/10.1109/jsen.2025.3647676openalex-snapshot
Physics-Informed Generative Self-Attention Framework for Sliding Bearing Fault Diagnosis
inferred← citeshttps://doi.org/10.1109/jsen.2026.3681571openalex-snapshot
An End-to-End Diagnostic Framework: Multichannel Vibration SPP Imaging CRHA-Net for Bearing Fault Recognition
inferred← citeshttps://doi.org/10.1109/jsen.2026.3709627openalex-snapshot
TAKNI: Temporal Attention-Driven Kernel Norm Integration Network for Fault Diagnosis
inferred← citeshttps://doi.org/10.1109/phm-besancon49106.2020.00019openalex-snapshot
Experimental Research on Machinery Fault Simulator (MFS): A Review
inferred← citeshttps://doi.org/10.1109/phm-yantai55411.2022.9942134openalex-snapshot
Quantitative Detection of Blade Crack Damage Based on Vibro-Acoustic Information and Multi- Dimensional Feature Fusion CNN
inferred← citeshttps://doi.org/10.1109/sdpc55702.2022.9915840openalex-snapshot
Supervised Contrastive Learning with Multi-scale Attention Mechanism for Fault Diagnosis of Bearing under Variable Operating Conditions
inferred← citeshttps://doi.org/10.1109/tcyb.2022.3225155openalex-snapshot
A New Predefined Time Zeroing Neural Network With Drop Conservatism for Matrix Flows Inversion and Its Application
inferred← citeshttps://doi.org/10.1109/tcyb.2024.3491634openalex-snapshot
Aeroengine Bearing Time-Varying Skidding Assessment With Prior Knowledge-Embedded Dual Feedback Spatial-Temporal GCN
inferred← citeshttps://doi.org/10.1109/tia.2024.3384356openalex-snapshot
Ensemble-Based Anomaly Detection With Comprehensive Feature Distances for Induction Motors
inferred← citeshttps://doi.org/10.1109/tia.2024.3451414openalex-snapshot
Electric Motor Bearing Fault Noise Detection via Mel-Spectrum-Based Contrastive Self-Supervised Transformer Model
inferred← citeshttps://doi.org/10.1109/tie.2020.3003649openalex-snapshot
Multiscale Convolutional Attention Network for Predicting Remaining Useful Life of Machinery
inferred← citeshttps://doi.org/10.1109/tie.2021.3060675openalex-snapshot
Cost-Effective Lebesgue Sampling Long Short-Term Memory Networks for Lithium-Ion Batteries Diagnosis and Prognosis
inferred← citeshttps://doi.org/10.1109/tie.2021.3063975openalex-snapshot
Adaptive Knowledge Transfer by Continual Weighted Updating of Filter Kernels for Few-Shot Fault Diagnosis of Machines
inferred← citeshttps://doi.org/10.1109/tie.2021.3108722openalex-snapshot
Research on Visual Measurement for Levitation Gap in Maglev System
inferred← citeshttps://doi.org/10.1109/tie.2021.3108726openalex-snapshot
Subdomain Adaptation Transfer Learning Network for Fault Diagnosis of Roller Bearings
inferred← citeshttps://doi.org/10.1109/tie.2021.3113004openalex-snapshot
Automatically Designing Network-Based Deep Transfer Learning Architectures Based on Genetic Algorithm for In-Situ Tool Condition Monitoring
inferred← citeshttps://doi.org/10.1109/tie.2022.3140403openalex-snapshot
Prior Knowledge-Augmented Self-Supervised Feature Learning for Few-Shot Intelligent Fault Diagnosis of Machines
inferred← citeshttps://doi.org/10.1109/tie.2025.3618921openalex-snapshot
Learning-Based Fault Identification and Fault-Tolerant Control for Quadruped Robots With Small Samples
inferred← citeshttps://doi.org/10.1109/tii.2020.3003353openalex-snapshot
Cascade Convolutional Neural Network With Progressive Optimization for Motor Fault Diagnosis Under Nonstationary Conditions
inferred← citeshttps://doi.org/10.1109/tii.2021.3099060openalex-snapshot
Residual Gated Dynamic Sparse Network for Gearbox Fault Diagnosis Using Multisensor Data
inferred← citeshttps://doi.org/10.1109/tii.2021.3112988openalex-snapshot
An Imbalance Modified Convolutional Neural Network With Incremental Learning for Chemical Fault Diagnosis
inferred← citeshttps://doi.org/10.1109/tii.2022.3148289openalex-snapshot
Multiscale Shared Learning for Fault Diagnosis of Rotating Machinery in Transportation Infrastructures
inferred← citeshttps://doi.org/10.1109/tii.2022.3179011openalex-snapshot
Enhanced Discriminate Feature Learning Deep Residual CNN for Multitask Bearing Fault Diagnosis With Information Fusion
inferred← citeshttps://doi.org/10.1109/tii.2022.3180389openalex-snapshot
LM-CNN: A Cloud-Edge Collaborative Method for Adaptive Fault Diagnosis With Label Sampling Space Enlarging
inferred← citeshttps://doi.org/10.1109/tii.2023.3242805openalex-snapshot
Novel Diagnosis Method for GIS Mechanical Defects Based on an Improved Lightweight CNN Model With Load Adaptive Matching
inferred← citeshttps://doi.org/10.1109/tii.2023.3254601openalex-snapshot
Graph-Guided Higher-Order Attention Network for Industrial Rotating Machinery Intelligent Fault Diagnosis
inferred← citeshttps://doi.org/10.1109/tii.2023.3265532openalex-snapshot
A Hybrid Bearing Prognostic Method With Fault Diagnosis and Model Fusion
inferred← citeshttps://doi.org/10.1109/tii.2023.3331129openalex-snapshot
Mode-Decoupling Auto-Encoder for Machinery Fault Diagnosis Under Unknown Working Conditions
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.2020.3017900openalex-snapshot
Multitask Learning Based on Lightweight 1DCNN for Fault Diagnosis of Wheelset Bearings
inferred← citeshttps://doi.org/10.1109/tim.2020.3034975openalex-snapshot
A Novel Bayesian Framework With Enhanced Principal Component Analysis for Chemical Fault Diagnosis
inferred← citeshttps://doi.org/10.1109/tim.2021.3076841openalex-snapshot
A Novel Multiscale Lightweight Fault Diagnosis Model Based on the Idea of Adversarial Learning
inferred← citeshttps://doi.org/10.1109/tim.2021.3117377openalex-snapshot
Lightweight Interleaved Residual Dense Network for Gas Identification of Industrial Polypropylene Coupled With an Electronic Nose
inferred← citeshttps://doi.org/10.1109/tim.2022.3158379openalex-snapshot
Rolling Bearing Compound Fault Diagnosis Based on Parameter Optimization MCKD and Convolutional Neural Network
inferred← citeshttps://doi.org/10.1109/tim.2022.3189730openalex-snapshot
Iterative Error Self-Correction for Robust Fault Diagnosis of Mechanical Equipment With Noisy Label
inferred← citeshttps://doi.org/10.1109/tim.2022.3212542openalex-snapshot
Bearing Fault Diagnosis Method Based on Complementary Feature Extraction and Fusion of Multisensor Data
inferred← citeshttps://doi.org/10.1109/tim.2023.3234093openalex-snapshot
An Online Open-Switch Fault Diagnosis Method for the DAB Converter Based on Multimodal Fusion Neural Controlled Differential Equations
inferred← citeshttps://doi.org/10.1109/tim.2023.3265088openalex-snapshot
A Novel Knowledge Sharing Method for Rolling Bearing Fault Detection Against Impact of Different Signal Sampling Frequencies
inferred← citeshttps://doi.org/10.1109/tim.2023.3314829openalex-snapshot
A Lightweight Network With Adaptive Input and Adaptive Channel Pruning Strategy for Bearing Fault Diagnosis
inferred← citeshttps://doi.org/10.1109/tim.2023.3330218openalex-snapshot
Classifier Discrepancy Guided Soft-Weight Adaptation Network for Machinery Fault Diagnosis Under Domain and Category Shift
inferred← citeshttps://doi.org/10.1109/tim.2024.3375958openalex-snapshot
Selective Feature Reinforcement Network for Robust Remote Fault Diagnosis of Wind Turbine Bearing Under Non-Ideal Sensor Data
inferred← citeshttps://doi.org/10.1109/tim.2024.3395323openalex-snapshot
Multitask Learning for Aero-Engine Bearing Fault Diagnosis With Limited Data
inferred← citeshttps://doi.org/10.1109/tim.2024.3449957openalex-snapshot
FW-UAV Fault Diagnosis Based on Multilevel Task Knowledge Supplement Network Under Small Samples
inferred← citeshttps://doi.org/10.1109/tim.2024.3502804openalex-snapshot
DSAN: An Integrated Bearing Diagnosis Strategy With Dual-Spectral Feature Transform and Adaptive Position Correction Algorithm
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.2025.3538068openalex-snapshot
A Globally Interpretable Convolutional Neural Network Combining Bearing Semantics for Bearing Fault Diagnosis
inferred← citeshttps://doi.org/10.1109/tim.2025.3575181openalex-snapshot
Position-Agnostic Aeroengine Intershaft Bearing Fault Diagnosis via Condition-Guided Multitask Learning
inferred← citeshttps://doi.org/10.1109/tim.2025.3581666openalex-snapshot
An Incremental Learning Framework for Mechanical Fault Diagnosis With Bi-Level Multiscale Convolutional Attention
inferred← citeshttps://doi.org/10.1109/tim.2025.3593608openalex-snapshot
FedRad: A Dynamic Low-Cost Federated Learning for Fault Diagnosis of Rotating Machinery
inferred← citeshttps://doi.org/10.1109/tim.2025.3614827openalex-snapshot
A Multiscale Recalibration Attention Network With Adaptive Grouped Convolution for Bearing Fault Diagnosis via Transfer Learning
inferred← citeshttps://doi.org/10.1109/tim.2026.3680172openalex-snapshot
A Novel Measurement Method for GIS Mechanical Fault Diagnosis via Physics-Informed Inversion of Feature Vectors and Attention-Enhanced Shallow Neural Networks
inferred← citeshttps://doi.org/10.1109/tnnls.2021.3100928openalex-snapshot
Coarse-to-Fine: Progressive Knowledge Transfer-Based Multitask Convolutional Neural Network for Intelligent Large-Scale Fault Diagnosis
inferred← citeshttps://doi.org/10.1109/tr.2021.3117732openalex-snapshot
An Enhanced Multifeature Fusion Method for Rotating Component Fault Diagnosis in Different Working Conditions
inferred← citeshttps://doi.org/10.1109/tte.2025.3566612openalex-snapshot
Robust Multiple-Fault Diagnosis of PMSMs in Dynamic Operations Under Imbalanced Datasets
inferred← citeshttps://doi.org/10.1142/s1469026823500232openalex-snapshot
Anomaly Detection Algorithm for Heterogeneous Wireless Networks Based on Cascaded Convolutional Neural Networks
inferred← citeshttps://doi.org/10.1145/3530818openalex-snapshot
High-performance Reconfigurable DNN Accelerator on a Bandwidth-limited Embedded System
inferred← citeshttps://doi.org/10.1155/2020/8880960openalex-snapshot
Fault Diagnosis of Rotating Machinery Based on One-Dimensional Deep Residual Shrinkage Network with a Wide Convolution Layer
inferred← citeshttps://doi.org/10.1155/2021/4270035openalex-snapshot
The Technique of English Word Syllable Division in Speech Synthesis Based on Neural Network
inferred← citeshttps://doi.org/10.1155/2022/5170734openalex-snapshot
Application of Neural Network Based on Multisource Information Fusion in Production Cost Prediction
inferred← citeshttps://doi.org/10.1155/vib/5237376openalex-snapshot
A Practical Bearing Failure Detection Method Using a New Efficient Deep Network With the Knowledge Self‐Adaptive Evolution
inferred← citeshttps://doi.org/10.1177/00368504251330003openalex-snapshot
A new fault diagnosis method for reciprocating piston pump based on feature fusion of CNN and transformer encoder
inferred← citeshttps://doi.org/10.1177/01423312241292756openalex-snapshot
Diagnostics and prognostics system design integrating hybrid Siamese and model-driven learning
inferred← citeshttps://doi.org/10.1177/03019233241296959openalex-snapshot
Defect attention-based lightweight real-time adaptable surface defect analysis
inferred← citeshttps://doi.org/10.1177/09544062251372679openalex-snapshot
A multi-source frequency temporal associative network for servo motor bearing fault diagnosis under dynamic operating conditions
inferred← citeshttps://doi.org/10.1177/10775463231211403openalex-snapshot
Joint loss learning-enabled semi-supervised autoencoder for bearing fault diagnosis under limited labeled vibration signals
inferred← citeshttps://doi.org/10.1177/14759217251383791openalex-snapshot
Hierarchical-injected noise-enhanced convolutional neural network for rolling bearing fault diagnosis under limited training samples
inferred← citeshttps://doi.org/10.1186/s10033-021-00570-7openalex-snapshot
Challenges and Opportunities of AI-Enabled Monitoring, Diagnosis & Prognosis: A Review
inferred← citeshttps://doi.org/10.1186/s10033-025-01341-4openalex-snapshot
Deep Transfer Learning Based Fault Diagnosis for Electromagnetic Pulse Valve Faults Under Small Sample
inferred← citeshttps://doi.org/10.21203/rs.3.rs-3138131/v1openalex-snapshot
Mathematical engineering modeling and optimization of convolutional neural networks for common data areas in multitasking systems
inferred← citeshttps://doi.org/10.2139/ssrn.7022853openalex-snapshot
Order-Aware and Speed-Disentangled Subspace Learning for Cross-Speed Bearing Misalignment Diagnosis
inferred← citeshttps://doi.org/10.22399/ijcesen.5103openalex-snapshot
Data fusion-based multiple fault diagnosis of rotating machines using transfer learning
inferred← citeshttps://doi.org/10.26599/tst.2025.9010138openalex-snapshot
MHSNet: A Multi-Scale Hidden State Interaction Network for Fault Diagnosis of Rotating Machinery
inferred← citeshttps://doi.org/10.3390/act12040154openalex-snapshot
Intelligent Fault Diagnosis Method through ACCC-Based Improved Convolutional Neural Network
inferred← citeshttps://doi.org/10.3390/app12030965openalex-snapshot
Latent Dimensions of Auto-Encoder as Robust Features for Inter-Conditional Bearing Fault Diagnosis
inferred← citeshttps://doi.org/10.3390/app15020972openalex-snapshot
Feature Analysis and Fault Diagnosis of Internal Leakage in Dual-Cylinder Parallel Balance Oil Circuit
inferred← citeshttps://doi.org/10.3390/e24111569openalex-snapshot
Bearing-Fault Diagnosis with Signal-to-RGB Image Mapping and Multichannel Multiscale Convolutional Neural Network
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