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Proc. ASME. MSEC2019, Volume 1: Additive Manufacturing; Manufacturing Equipment and Systems; Bio and Sustainable Manufacturing, V001T02A013, June 10–14, 2019

Paper No: MSEC2019-2785

DOI: https://doi.org/10.1115/MSEC2019-2785

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Topics: Fault diagnosis, Machinery, Signals, Vibration

Proceedings Papers

Deep Convolutional Neural Network for Early Disk Crack Diagnosis Under Variable Speed

Ruonan Liu, Ruqiang Yan, Meng Ma, Xuefeng Chen

Proc. ASME. IMECE2018, Volume 11: Acoustics, Vibration, and Phononics, V011T01A021, November 9–15, 2018

Paper No: IMECE2018-87247

DOI: https://doi.org/10.1115/IMECE2018-87247

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Topics: Artificial neural networks, Disks, Fracture (Materials), Signals, Aircraft, Aircraft engines, Turbines, Vibration, Accidents, Fatigue cracks

Proceedings Papers

Multi-Mode Particle Filter for Bearing Remaining Life Prediction

Peng Wang, Ruqiang Yan, Robert X. Gao

Proc. ASME. MSEC2018, Volume 3: Manufacturing Equipment and Systems, V003T02A031, June 18–22, 2018

Paper No: MSEC2018-6638

DOI: https://doi.org/10.1115/MSEC2018-6638

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Topics: Bearings, Filters, Particulate matter, Service life (Equipment), Machinery, Rolling bearings, Vibration, Chain, Failure, Maintenance

Proceedings Papers

Induction Motor Fault Diagnosis and Classification Through Sparse Representation

Jianjing Zhang, Peng Wang, Chuang Sun, Ruqiang Yan, Robert X. Gao

Proc. ASME. DSCC2017, Volume 2: Mechatronics; Estimation and Identification; Uncertain Systems and Robustness; Path Planning and Motion Control; Tracking Control Systems; Multi-Agent and Networked Systems; Manufacturing; Intelligent Transportation and Vehicles; Sensors and Actuators; Diagnostics and Detection; Unmanned, Ground and Surface Robotics; Motion and Vibration Control Applications, V002T04A005, October 11–13, 2017

Paper No: DSCC2017-5259

DOI: https://doi.org/10.1115/DSCC2017-5259

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Topics: Electromagnetic induction, Engines, Fault diagnosis, Motors, Noise (Sound), Robustness, Feature extraction, Reliability, Signals, Vibration

Journal Articles

A Nonlinear Noise Reduction Approach to Vibration Analysis for Bearing Health Diagnosis

Ruqiang Yan, Robert X. Gao

J. Comput. Nonlinear Dynam. April 2012, 7(2): 021004.

DOI: https://doi.org/10.1115/1.4005463

Published Online: January 6, 2012

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Topics: Bearings, Noise (Sound), Noise control, Phase space, Signals, Vibration, Time series, Fractals, Algorithms, Rolling bearings

Proceedings Papers

A Nonlinear Time Series Analysis Method for Health Monitoring of Rolling Bearings

Yongbin Liu, Ruqiang Yan, Robert X. Gao

Proc. ASME. DSCC2010, ASME 2010 Dynamic Systems and Control Conference, Volume 2, 277-283, September 12–15, 2010

Paper No: DSCC2010-4118

DOI: https://doi.org/10.1115/DSCC2010-4118

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Topics: Rolling bearings, Time series, Entropy, Machinery, Signals, Damage, Mechanical drives, Structural health monitoring, Vibration

Proceedings Papers

Local Geometric Projection-Based Noise Reduction for Vibration Signal Analysis in Rolling Bearings

Ruqiang Yan, Robert X. Gao, Kang B. Lee, Steven E. Fick

Proc. ASME. IMECE2008, Volume 11: Mechanical Systems and Control, 647-653, October 31–November 6, 2008

Paper No: IMECE2008-66937

DOI: https://doi.org/10.1115/IMECE2008-66937

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Topics: Noise control, Phase space, Rolling bearings, Signals, Vibration

Journal Articles

Experimental Evaluation of a Unified Time-Scale-Frequency Technique for Bearing Defect Feature Extraction

Ruqiang Yan, Robert X. Gao, Changting Wang

J. Vib. Acoust. August 2009, 131(4): 041012.

DOI: https://doi.org/10.1115/1.3147125

Published Online: June 18, 2009

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Topics: Bearings, Feature extraction, Signals, Stress, Wavelets, Wavelet transforms

Proceedings Papers

Wavelet-Based Multi-Fractal Spectrum for Machine Defect Identification

Ruqiang Yan, Robert X. Gao

Proc. ASME. IMECE2007, Volume 10: Mechanics of Solids and Structures, Parts A and B, 673-679, November 11–15, 2007

Paper No: IMECE2007-41984

DOI: https://doi.org/10.1115/IMECE2007-41984

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Topics: Fractals, Machinery, Wavelet transforms, Wavelets

Proceedings Papers

Condition Monitoring of Operating Spindle Based on Stochastic Subspace Identification

Robert X. Gao, Ruqiang Yan, Li Zhang, Kang B. Lee

Proc. ASME. IMECE2007, Volume 9: Mechanical Systems and Control, Parts A, B, and C, 1129-1135, November 11–15, 2007

Paper No: IMECE2007-41988

DOI: https://doi.org/10.1115/IMECE2007-41988

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Topics: Condition monitoring, Structural dynamics

Proceedings Papers

Multi-Scale Enveloping Spectrogram for Bearing Defect Detection

Ruqiang Yan, Robert X. Gao

Proc. ASME. WTC2005, World Tribology Congress III, Volume 2, 855-856, September 12–16, 2005

Paper No: WTC2005-63541

DOI: https://doi.org/10.1115/WTC2005-63541

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Topics: Bearings, Flaw detection, Signals, Fourier transforms, Rolling bearings, Signal processing, Vibration, Wavelet transforms, Wavelets

Proceedings Papers

A Hybrid Signal Processing Technique for Bearing Defect Severity Estimation

Robert X. Gao, Ruqiang Yan

Proc. ASME. WTC2005, World Tribology Congress III, Volume 2, 857-858, September 12–16, 2005

Paper No: WTC2005-63552

DOI: https://doi.org/10.1115/WTC2005-63552

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Topics: Bearings, Signal processing, Feature extraction, Principal component analysis, Signals, Vibration, Wavelets

Proceedings Papers

A Hybrid Signal Processing Approach to Sensor Data Analysis

Ruqiang Yan, Robert X. Gao

Proc. ASME. IMECE2003, Dynamic Systems and Control, Volumes 1 and 2, 1159-1166, November 15–21, 2003

Paper No: IMECE2003-42586

DOI: https://doi.org/10.1115/IMECE2003-42586

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Topics: Emission spectroscopy, Sensors, Signal processing, Signals, Spectroscopy, Wavelet transforms, Wavelets, Bearings, Experimental analysis, Vibration

Journal Articles

Rotary Machine Health Diagnosis Based on Empirical Mode Decomposition

Ruqiang Yan, Robert X. Gao

J. Vib. Acoust. April 2008, 130(2): 021007.

DOI: https://doi.org/10.1115/1.2827360

Published Online: February 4, 2008

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Topics: Bearings, Signals, Vibration, Machinery, Rolling bearings, Feature extraction

Journal citation

NARROW

Modeling and Analysis of Phononic Crystal With Coupled Lanes for Enhanced Elastic Wave Attenuation

Coupled Piezoelectric Phononic Crystal for Adaptive Broadband Wave Attenuation by Destructive Interference

Exploring Sample/Feature Hybrid Transfer for Gear Fault Diagnosis Under Varying Working Conditions

Singular Vector-Inspired Dictionary Learning for Sparse Decomposition of Vibration Signal

Deep Convolutional Neural Network for Early Disk Crack Diagnosis Under Variable Speed

Multi-Mode Particle Filter for Bearing Remaining Life Prediction

Induction Motor Fault Diagnosis and Classification Through Sparse Representation

A Nonlinear Noise Reduction Approach to Vibration Analysis for Bearing Health Diagnosis

A Nonlinear Time Series Analysis Method for Health Monitoring of Rolling Bearings

Local Geometric Projection-Based Noise Reduction for Vibration Signal Analysis in Rolling Bearings

Experimental Evaluation of a Unified Time-Scale-Frequency Technique for Bearing Defect Feature Extraction

Wavelet-Based Multi-Fractal Spectrum for Machine Defect Identification

Condition Monitoring of Operating Spindle Based on Stochastic Subspace Identification

Multi-Scale Enveloping Spectrogram for Bearing Defect Detection

A Hybrid Signal Processing Technique for Bearing Defect Severity Estimation

A Hybrid Signal Processing Approach to Sensor Data Analysis

Rotary Machine Health Diagnosis Based on Empirical Mode Decomposition

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