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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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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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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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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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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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Ensemble sparse supervised model for bearing fault diagnosis in smart manufacturing

Robotics and computer-integrated manufacturing, 2020-10, Vol.65, p.101920, Article 101920

2020

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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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An efficient approach to machine health diagnosis based on harmonic wavelet packet transform

Robotics and computer-integrated manufacturing, 2005-08, Vol.21 (4), p.291-301

2005

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A New Feature Selection Algorithm Based on the Mean Impact Variance

Mathematical problems in engineering, 2014-01, Vol.2014 (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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A KLIEP-based Transfer Learning Model for Gear Fault Diagnosis under Varying Working Conditions

2020 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD), 2020, p.188-193

2020

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Rolling bearing defect severity assessment under varying operating conditions

International journal of manufacturing research, 2009, Vol.4 (1), p.37

2009

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

DCNN-Based Multi-Signal Induction Motor Fault Diagnosis

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

WaveletKernelNet: An Interpretable Deep Neural Network for Industrial Intelligent Diagnosis

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

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

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

Ensemble sparse supervised model for bearing fault diagnosis in smart manufacturing

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

Multisensor Data Fusion for Physical Activity Assessment

An efficient approach to machine health diagnosis based on harmonic wavelet packet transform

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

A KLIEP-based Transfer Learning Model for Gear Fault Diagnosis under Varying Working Conditions

Rolling bearing defect severity assessment under varying operating conditions

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

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