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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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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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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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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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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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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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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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Reconfigurable energy-efficient wireless sensor networks for real-time data acquisition

2008 34th Annual Conference of IEEE Industrial Electronics, 2008, p.2623-2628

2008

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A sparse approach to fault severity classification for gearbox monitoring

2016 19th International Conference on Information Fusion (FUSION), 2016, p.2303-2308

2016

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Induction motor fault diagnosis using multiple class feature selection

2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings, 2015, p.256-260

2015

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Non-invasive respiration and ventilation prediction using a single abdominal sensor belt

2011 IEEE Signal Processing in Medicine and Biology Symposium (SPMB), 2011, p.1-5

2011

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Design of an impulse wavelet for structural defect identification

2010 Prognostics and System Health Management Conference, 2010, p.1-6

2010

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Machine health diagnosis based on approximate entropy

Proceedings of the 21st IEEE Instrumentation and Measurement Technology Conference (IEEE Cat. No.04CH37510), 2004, Vol.3, p.2054-2059 Vol.3

2004

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A Neural Network Approach to Bearing Health Assessment

The 2006 IEEE International Joint Conference on Neural Network Proceedings, 2006, p.899-906

2006

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

WaveletKernelNet: An Interpretable Deep Neural Network for Industrial Intelligent Diagnosis

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

Ensemble sparse supervised model for bearing fault diagnosis in smart manufacturing

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

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

Statistical analysis of symbol sequence distributions for machine condition monitoring

Reconfigurable energy-efficient wireless sensor networks for real-time data acquisition

A sparse approach to fault severity classification for gearbox monitoring

Induction motor fault diagnosis using multiple class feature selection

Non-invasive respiration and ventilation prediction using a single abdominal sensor belt

Design of an impulse wavelet for structural defect identification

Machine health diagnosis based on approximate entropy

A Neural Network Approach to Bearing Health Assessment

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