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Journal Articles

Separating Multiple Moving Sources by Microphone Array Signals for Wayside Acoustic Fault Diagnosis

Wei Xiong, Qingbo He, Zhike Peng

Publisher: ASME

J. Vib. Acoust. October 2019, 141(5): 051004.

Paper No: VIB-18-1432

https://doi.org/10.1115/1.4043508

Published Online: May 22, 2019

View Article titled, Separating Multiple Moving Sources by Microphone Array Signals for Wayside Acoustic Fault Diagnosis

Topics: Acoustics, Separation (Technology), Signals, Fault diagnosis, Microphone arrays

Journal Articles

An Adaptive Periodical Stochastic Resonance Method Based on the Grey Wolf Optimizer Algorithm and Its Application in Rolling Bearing Fault Diagnosis

Bingbing Hu, Chang Guo, Jimei Wu, Jiahui Tang, Jialing Zhang, Yuan Wang

Publisher: ASME

J. Vib. Acoust. August 2019, 141(4): 041016.

Paper No: VIB-18-1529

https://doi.org/10.1115/1.4043063

Published Online: May 10, 2019

View Article titled, An Adaptive Periodical Stochastic Resonance Method Based on the Grey Wolf Optimizer Algorithm and Its Application in Rolling Bearing Fault Diagnosis

Topics: Algorithms, Bearings, Fault diagnosis, Resonance, Signals, Rolling bearings, Noise (Sound)

Journal Articles

Enhanced Rotating Machine Fault Diagnosis Based on Time-Delayed Feedback Stochastic Resonance

Siliang Lu, Qingbo He, Haibin Zhang, Fanrang Kong

Publisher: ASME

J. Vib. Acoust. October 2015, 137(5): 051008.

Paper No: VIB-14-1202

https://doi.org/10.1115/1.4030346

Published Online: October 1, 2015

View Article titled, Enhanced Rotating Machine Fault Diagnosis Based on Time-Delayed Feedback Stochastic Resonance

Topics: Feedback, Machinery, Noise (Sound), Signals, Fault diagnosis, Impulse (Physics), Bearings, Filtration, Resonance, Delays

Journal Articles

On the Use of Spectral Averaging of Acoustic Emission Signals for Bearing Fault Diagnostics

Brandon Van Hecke, David He, Yongzhi Qu

Publisher: ASME

J. Vib. Acoust. December 2014, 136(6): 061009.

Paper No: VIB-13-1434

https://doi.org/10.1115/1.4028322

Published Online: September 11, 2014

View Article titled, On the Use of Spectral Averaging of Acoustic Emission Signals for Bearing Fault Diagnostics

Topics: Bearings, Signals, Vibration, Fault diagnosis

Journal Articles

Doppler Shift Removal Based on Instantaneous Frequency Estimation for Wayside Fault Diagnosis of Train Bearings

Ao Zhang, Fei Hu, Qingbo He, Changqing Shen, Fang Liu, Fanrang Kong

Publisher: ASME

J. Vib. Acoust. April 2014, 136(2): 021019.

Paper No: VIB-12-1272

https://doi.org/10.1115/1.4026431

Published Online: February 5, 2014

View Article titled, Doppler Shift Removal Based on Instantaneous Frequency Estimation for Wayside Fault Diagnosis of Train Bearings

Topics: Bearings, Doppler effect, Fault diagnosis, Signals, Trains

Journal Articles

Looseness Diagnosis of Rotating Machinery Via Vibration Analysis Through Hilbert–Huang Transform Approach

T. Y. Wu, Y. L. Chung, C. H. Liu

Publisher: ASME

J. Vib. Acoust. June 2010, 132(3): 031005.

https://doi.org/10.1115/1.4000782

Published Online: April 22, 2010

View Article titled, Looseness Diagnosis of Rotating Machinery Via Vibration Analysis Through Hilbert–Huang Transform Approach

Topics: Bearings, Fault diagnosis, Machinery, Rotors, Signals, Spectra (Spectroscopy), Vibration, Vibration analysis

Journal Articles

A Combination of W K NN to Fault Diagnosis of Rolling Element Bearings

Yaguo Lei, Zhengjia He, Yanyang Zi

Publisher: ASME

J. Vib. Acoust. December 2009, 131(6): 064502.

https://doi.org/10.1115/1.4000478

Published Online: November 20, 2009

View Article titled, A Combination of W K NN to Fault Diagnosis of Rolling Element Bearings

Topics: Bearings, Fault diagnosis, Feature extraction, Rolling bearings, Signals, Testing, Vibration

Journal Articles

An Approach for the Construction of Entropy Measure and Energy Map in Machine Fault Diagnosis

R. Tafreshi, F. Sassani, H. Ahmadi, G. Dumont

Publisher: ASME

J. Vib. Acoust. April 2009, 131(2): 024501.

https://doi.org/10.1115/1.2980367

Published Online: February 13, 2009

View Article titled, An Approach for the Construction of Entropy Measure and Energy Map in Machine Fault Diagnosis

Topics: Algorithms, Entropy, Machinery, Signals, Wavelets, Engines, Fault diagnosis, Feature extraction

Journal Articles

Genetic Integration of Different Diagnosis Methods and/or Fault Features for Improvement of Diagnosis Accuracy

Dou Wei, Liu Zhan-Sheng

Publisher: ASME

J. Vib. Acoust. February 2009, 131(1): 011002.

https://doi.org/10.1115/1.2980379

Published Online: December 29, 2008

View Article titled, Genetic Integration of Different Diagnosis Methods and/or Fault Features for Improvement of Diagnosis Accuracy

Topics: Artificial neural networks, Fault diagnosis, Genetic algorithms, Machinery, Wavelets

Journal Articles

Application of the Laplace-Wavelet Combined With ANN for Rolling Bearing Fault Diagnosis

Khalid F. Al-Raheem, Asok Roy, Ph.D., K. P. Ramachandran, Ph.D., D. K. Harrison, Steven Grainger, Ph.D.

Publisher: ASME

J. Vib. Acoust. October 2008, 130(5): 051007.

https://doi.org/10.1115/1.2948399

Published Online: August 14, 2008

View Article titled, Application of the Laplace-Wavelet Combined With ANN for Rolling Bearing Fault Diagnosis

Topics: Artificial neural networks, Bearings, Rolling bearings, Vibration, Wavelets, Genetic algorithms, Fault diagnosis, Signals

Journal Articles

Application of a Novel Hybrid Intelligent Method to Compound Fault Diagnosis of Locomotive Roller Bearings

Yaguo Lei, Zhengjia He, Yanyang Zi

Publisher: ASME

J. Vib. Acoust. June 2008, 130(3): 034501.

https://doi.org/10.1115/1.2890396

Published Online: April 3, 2008

View Article titled, Application of a Novel Hybrid Intelligent Method to Compound Fault Diagnosis of Locomotive Roller Bearings

Topics: Fault diagnosis, Feature extraction, Locomotives, Roller bearings, Signals, Vibration, Bearings, Genetic algorithms

Journal Articles

Pattern Recognition for Automatic Machinery Fault Diagnosis

Qiao Sun, Ping Chen, Dajun Zhang, Fengfeng Xi

Publisher: ASME

J. Vib. Acoust. April 2004, 126(2): 307–316.

https://doi.org/10.1115/1.1687391

Published Online: May 4, 2004

View Article titled, Pattern Recognition for Automatic Machinery Fault Diagnosis

Topics: Bearings, Fault diagnosis, Feature extraction, Image segmentation, Machinery, Pattern recognition, Signals, Vibration, Stress, Algorithms

Journal Articles

Autoregressive Model-Based Gear Fault Diagnosis

Wenyi Wang, Albert K. Wong

Publisher: ASME

J. Vib. Acoust. April 2002, 124(2): 172–179.

https://doi.org/10.1115/1.1456905

Published Online: March 26, 2002

View Article titled, Autoregressive Model-Based Gear Fault Diagnosis

Topics: Fault diagnosis, Gears, Signals, Vibration, Modeling, Stress, Errors

Journal Articles

Wavelet Analysis and Envelope Detection For Rolling Element Bearing Fault Diagnosis—Their Effectiveness and Flexibilities

Peter W. Tse, Mem. ASME, Y. H. Peng, Mem. ASME, Richard Yam

Publisher: ASME

J. Vib. Acoust. July 2001, 123(3): 303–310.

https://doi.org/10.1115/1.1379745

Published Online: March 1, 2001

View Article titled, Wavelet Analysis and Envelope Detection For Rolling Element Bearing Fault Diagnosis—Their Effectiveness and Flexibilities

Topics: Bearings, Fault diagnosis, Machinery, Vibration, Wavelets, Rolling bearings, Rollers, Signals

Journal Articles

Fault Diagnosis of Joint Backlash

M.-C. Pan, H. Van Brussel, P. Sas, B. Verbeure

Publisher: ASME

J. Vib. Acoust. January 1998, 120(1): 13–24.

https://doi.org/10.1115/1.2893797

Published Online: January 1, 1998

View Article titled, Fault Diagnosis of Joint Backlash

Topics: Fault diagnosis, Robots, Signals, Transients (Dynamics), Vibration

Journal Articles

Decomposition of Gear Motion Signals and Its Application to Gearbox Diagnostics

W. J. Wang, P. D. McFadden

Publisher: ASME

J. Vib. Acoust. July 1995, 117(3A): 363–369.

https://doi.org/10.1115/1.2874462

Published Online: July 1, 1995

View Article titled, Decomposition of Gear Motion Signals and Its Application to Gearbox Diagnostics

Topics: Gears, Mechanical drives, Signals, Errors, Damage, Vibration, Condition monitoring, Fault diagnosis, Gear teeth

Journal Articles

A Vibration Diagnosis Approach to Structural Fault

Song-Nian Gu, Jian-Lin Zhang, Jie-Sheng Jiang, Cheng-An He

Publisher: ASME

J. Vib. Acoust. January 1989, 111(1): 88–93.

https://doi.org/10.1115/1.3269829

Published Online: January 1, 1989

View Article titled, A Vibration Diagnosis Approach to Structural Fault

Topics: Vibration, Filtration, Fault diagnosis, Frequency response, Simulation results, Stiffness, Testing

Journal citation

NARROW

Separating Multiple Moving Sources by Microphone Array Signals for Wayside Acoustic Fault Diagnosis

An Adaptive Periodical Stochastic Resonance Method Based on the Grey Wolf Optimizer Algorithm and Its Application in Rolling Bearing Fault Diagnosis

Enhanced Rotating Machine Fault Diagnosis Based on Time-Delayed Feedback Stochastic Resonance

On the Use of Spectral Averaging of Acoustic Emission Signals for Bearing Fault Diagnostics

Doppler Shift Removal Based on Instantaneous Frequency Estimation for Wayside Fault Diagnosis of Train Bearings

Looseness Diagnosis of Rotating Machinery Via Vibration Analysis Through Hilbert–Huang Transform Approach

A Combination of W K NN to Fault Diagnosis of Rolling Element Bearings

An Approach for the Construction of Entropy Measure and Energy Map in Machine Fault Diagnosis

Genetic Integration of Different Diagnosis Methods and/or Fault Features for Improvement of Diagnosis Accuracy

Application of the Laplace-Wavelet Combined With ANN for Rolling Bearing Fault Diagnosis

Application of a Novel Hybrid Intelligent Method to Compound Fault Diagnosis of Locomotive Roller Bearings

Pattern Recognition for Automatic Machinery Fault Diagnosis

Autoregressive Model-Based Gear Fault Diagnosis

Wavelet Analysis and Envelope Detection For Rolling Element Bearing Fault Diagnosis—Their Effectiveness and Flexibilities

Fault Diagnosis of Joint Backlash

Decomposition of Gear Motion Signals and Its Application to Gearbox Diagnostics

A Vibration Diagnosis Approach to Structural Fault

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