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A Deep Learning Approach for Fault Diagnosis of Induction Motors in Manufacturing

Chinese journal of mechanical engineering, 2017-11, Vol.30 (6), p.1347-1356

English ed., 2017

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DCNN-Based Multi-Signal Induction Motor Fault Diagnosis

IEEE transactions on instrumentation and measurement, 2020-06, Vol.69 (6), p.2658-2669

2020

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Multilevel Information Fusion for Induction Motor Fault Diagnosis

IEEE/ASME transactions on mechatronics, 2019-10, Vol.24 (5), p.2139-2150

2019

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Machine health monitoring based on locally linear embedding with kernel sparse representation for neighborhood optimization

Mechanical systems and signal processing, 2019-01, Vol.114, p.25-34

2019

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A Light Weight Multisensory Fusion Model for Induction Motor Fault Diagnosis

IEEE/ASME transactions on mechatronics, 2022-12, Vol.27 (6), p.4932-4941

2022

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Interpretable Convolutional Neural Network Through Layer-wise Relevance Propagation for Machine Fault Diagnosis

IEEE sensors journal, 2020-03, Vol.20 (6), p.3172-3181

2020

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Generalized Vold-Kalman Filtering for Nonstationary Compound Faults Feature Extraction of Bearing and Gear

IEEE transactions on instrumentation and measurement, 2020-02, Vol.69 (2), p.401-410

2020

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Probabilistic Transfer Factor Analysis for Machinery Autonomous Diagnosis Cross Various Operating Conditions

IEEE transactions on instrumentation and measurement, 2020-08, Vol.69 (8), p.5335-5344

2020

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Automated Model Generation for Machinery Fault Diagnosis Based on Reinforcement Learning and Neural Architecture Search

IEEE transactions on instrumentation and measurement, 2022, Vol.71, p.1-12

2022

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Texture-Aware Ridgelet Transform and Machine Learning for Surface Roughness Prediction

IEEE transactions on instrumentation and measurement, 2022, Vol.71, p.1-1

2022

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Multisensor Data Fusion for Physical Activity Assessment

IEEE transactions on biomedical engineering, 2012-03, Vol.59 (3), p.687-696

2012

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A New Intelligent Bearing Fault Diagnosis Method Using SDP Representation and SE-CNN

IEEE transactions on instrumentation and measurement, 2020-05, Vol.69 (5), p.2377-2389

2020

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WaveletKernelNet: An Interpretable Deep Neural Network for Industrial Intelligent Diagnosis

IEEE transactions on systems, man, and cybernetics. Systems, 2022-04, Vol.52 (4), p.2302-2312

2022

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A New Feature Selection Algorithm Based on the Mean Impact Variance

Mathematical problems in engineering, 2014-01, Vol.2014, p.1-8

2014

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Bearing fault diagnosis based on SVD feature extraction and transfer learning classification

2015 Prognostics and System Health Management Conference (PHM), 2015, p.1-6

2015

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Multi-scale enveloping order spectrogram for rotating machine health diagnosis

Mechanical systems and signal processing, 2014-05, Vol.46 (1), p.28-44

2014

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Energy-Based Feature Extraction for Defect Diagnosis in Rotary Machines

IEEE transactions on instrumentation and measurement, 2009-09, Vol.58 (9), p.3130-3139

2009

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Learning features from vibration signals for induction motor fault diagnosis

2016 International Symposium on Flexible Automation (ISFA), 2016, p.71-76

2016

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Integrated method of generalized demodulation and artificial neural network for robust bearing fault recognition

Procedia manufacturing, 2021, Vol.53, p.628-635

2021

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Wavelet transform with spectral post-processing for enhanced feature extraction [machine condition monitoring]

IEEE transactions on instrumentation and measurement, 2003-08, Vol.52 (4), p.1296-1301

2003

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Induction motor fault diagnosis based on ensemble classifiers

2016 IEEE International Instrumentation and Measurement Technology Conference Proceedings, 2016, p.1-5

2016

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Multi-sensor data fusion for improved measurement accuracy in injection molding

2016 IEEE International Instrumentation and Measurement Technology Conference Proceedings, 2016, p.1-5

2016

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SVM-based multi-sensor fusion for free-living physical activity assessment

2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011, Vol.2011, p.3188-3191

2011

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Classification of physical activities based on sparse representation

2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012-01, Vol.2012, p.6200-6203

2012

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Statistical analysis of symbol sequence distributions for machine condition monitoring

2008 34th Annual Conference of IEEE Industrial Electronics, 2008, p.1925-1930

2008

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A Deep Learning Approach for Fault Diagnosis of Induction Motors in Manufacturing

DCNN-Based Multi-Signal Induction Motor Fault Diagnosis

Multilevel Information Fusion for Induction Motor Fault Diagnosis

Machine health monitoring based on locally linear embedding with kernel sparse representation for neighborhood optimization

A Light Weight Multisensory Fusion Model for Induction Motor Fault Diagnosis

Interpretable Convolutional Neural Network Through Layer-wise Relevance Propagation for Machine Fault Diagnosis

Generalized Vold-Kalman Filtering for Nonstationary Compound Faults Feature Extraction of Bearing and Gear

Probabilistic Transfer Factor Analysis for Machinery Autonomous Diagnosis Cross Various Operating Conditions

Automated Model Generation for Machinery Fault Diagnosis Based on Reinforcement Learning and Neural Architecture Search

Texture-Aware Ridgelet Transform and Machine Learning for Surface Roughness Prediction

Multisensor Data Fusion for Physical Activity Assessment

A New Intelligent Bearing Fault Diagnosis Method Using SDP Representation and SE-CNN

WaveletKernelNet: An Interpretable Deep Neural Network for Industrial Intelligent Diagnosis

A New Feature Selection Algorithm Based on the Mean Impact Variance

Bearing fault diagnosis based on SVD feature extraction and transfer learning classification

Multi-scale enveloping order spectrogram for rotating machine health diagnosis

Energy-Based Feature Extraction for Defect Diagnosis in Rotary Machines

Learning features from vibration signals for induction motor fault diagnosis

Integrated method of generalized demodulation and artificial neural network for robust bearing fault recognition

Wavelet transform with spectral post-processing for enhanced feature extraction [machine condition monitoring]

Induction motor fault diagnosis based on ensemble classifiers

Multi-sensor data fusion for improved measurement accuracy in injection molding

SVM-based multi-sensor fusion for free-living physical activity assessment

Classification of physical activities based on sparse representation

Statistical analysis of symbol sequence distributions for machine condition monitoring

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