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Journal Articles

Experimental Application of Time-Domain Transmissibility Identification to Fault Detection and Localization in Acoustic Systems

Khaled F. Aljanaideh, Dennis S. Bernstein

Publisher: ASME

J. Vib. Acoust. April 2018, 140(2): 021017.

Paper No: VIB-16-1487

https://doi.org/10.1115/1.4038436

Published Online: December 12, 2017

View Article titled, Experimental Application of Time-Domain Transmissibility Identification to Fault Detection and Localization in Acoustic Systems

Topics: Acoustics, Flaw detection, Signals, White noise, Excitation, Sensors, Microphones, Dynamics (Mechanics)

Journal Articles

A Joint Kurtosis-Based Adaptive Bandstop Filtering and Iterative Autocorrelation Approach to Bearing Fault Detection

Yi Zhang, Ming Liang, Chuan Li, Shumin Hou

Publisher: ASME

J. Vib. Acoust. October 2013, 135(5): 051026.

Paper No: VIB-12-1282

https://doi.org/10.1115/1.4024610

Published Online: June 18, 2013

View Article titled, A Joint Kurtosis-Based Adaptive Bandstop Filtering and Iterative Autocorrelation Approach to Bearing Fault Detection

Topics: Bearings, Flaw detection, Signals, Information Analysis Centers, Filtration, Noise (Sound)

Journal Articles

Ensemble Noise-Reconstructed Empirical Mode Decomposition for Mechanical Fault Detection

Jing Yuan, Zhengjia He, Jun Ni, Adam John Brzezinski, Yanyang Zi

Publisher: ASME

J. Vib. Acoust. April 2013, 135(2): 021011.

Paper No: VIB-10-1257

https://doi.org/10.1115/1.4023138

Published Online: March 18, 2013

View Article titled, Ensemble Noise-Reconstructed Empirical Mode Decomposition for Mechanical Fault Detection

Topics: Flaw detection, Noise (Sound), Signals, Simulation

Journal Articles

Feature Selection for Fault Detection in Rolling Element Bearings Using Mutual Information

Karthik Kappaganthu, C. Nataraj

Publisher: ASME

J. Vib. Acoust. December 2011, 133(6): 061001.

https://doi.org/10.1115/1.4003400

Published Online: September 9, 2011

View Article titled, Feature Selection for Fault Detection in Rolling Element Bearings Using Mutual Information

Topics: Bearings, Discrete wavelet transforms, Feature extraction, Feature selection, Flaw detection, Rolling bearings, Artificial neural networks, Signals

Journal Articles

Automated Operating Mode Classification for Online Monitoring Systems

Markus A. Timusk, Michael G. Lipsett, Jordan McBain, Chris K. Mechefske

Publisher: ASME

J. Vib. Acoust. August 2009, 131(4): 041003.

https://doi.org/10.1115/1.3142871

Published Online: June 5, 2009

View Article titled, Automated Operating Mode Classification for Online Monitoring Systems

Topics: Algorithms, Condition monitoring, Errors, Machinery, Signals, Testing, Trenching machinery, Vibration, Monitoring systems, Flaw detection

Journal Articles

Defect Detection for Bearings Using Envelope Spectra of Wavelet Transform

D. F. Shi, W. J. Wang, L. S. Qu

Publisher: ASME

J. Vib. Acoust. October 2004, 126(4): 567–573.

https://doi.org/10.1115/1.1804995

Published Online: December 21, 2004

View Article titled, Defect Detection for Bearings Using Envelope Spectra of Wavelet Transform

Topics: Bearings, Rolling bearings, Spectra (Spectroscopy), Vibration, Wavelet transforms, Wavelets, Flaw detection, Resonance, Rollers, Signals

Journal Articles

Toward Intelligent Fault Detection in Turbine Blades: Variational Vibration Models of Damaged Pinned-Pinned Beams

Daniel A. McAdams, Ph.D., Irem Y. Tumer, Ph.D.

Publisher: ASME

J. Vib. Acoust. October 2005, 127(5): 467–474.

https://doi.org/10.1115/1.2013296

Published Online: November 29, 2004

View Article titled, Toward Intelligent Fault Detection in Turbine Blades: Variational Vibration Models of Damaged Pinned-Pinned Beams

Topics: Damage, Fracture (Materials), Geometry, Turbine blades, Vibration, Flaw detection, Simulation, Manufacturing, Aerospace industry

Journal Articles

HMM-Based Fault Detection and Diagnosis Scheme for Rolling Element Bearings

Hasan Ocak, Kenneth A. Loparo

Publisher: ASME

J. Vib. Acoust. August 2005, 127(4): 299–306.

https://doi.org/10.1115/1.1924636

Published Online: September 23, 2004

View Article titled, HMM-Based Fault Detection and Diagnosis Scheme for Rolling Element Bearings

Topics: Bearings, Flaw detection, Probability, Signals, Vibration, Feature extraction, Modeling, Rolling bearings, Motors

Journal Articles

Mechanical Fault Detection Based on the Wavelet De-Noising Technique

Jing Lin, Post-Doctoral Fellow, Ming J. Zuo, Professor, Ken R. Fyfe, Professor

Publisher: ASME

J. Vib. Acoust. January 2004, 126(1): 9–16.

https://doi.org/10.1115/1.1596552

Published Online: February 26, 2004

View Article titled, Mechanical Fault Detection Based on the Wavelet De-Noising Technique

Topics: Impulse (Physics), Maximum likelihood estimation, Noise (Sound), Signals, Wavelet transforms, Wavelets, Flaw detection, Vibration, Roller bearings

Journal Articles

A Hybrid Analysis Method for Vibration Signals Based on Neural Networks and Pattern Recognition Techniques

Mahmod M. Samman, Mem. ASME, Senior Associate,

Publisher: ASME

J. Vib. Acoust. January 2001, 123(1): 122–124.

https://doi.org/10.1115/1.1320444

Published Online: July 1, 2000

View Article titled, A Hybrid Analysis Method for Vibration Signals Based on Neural Networks and Pattern Recognition Techniques

Topics: Artificial neural networks, Flaw detection, Pattern recognition, Signals, Vibration

Journal Articles

Helicopter Gearbox Fault Detection: A Neural Network Based Approach

M. R. Dellomo

Publisher: ASME

J. Vib. Acoust. July 1999, 121(3): 265–272.

https://doi.org/10.1115/1.2893975

Published Online: July 1, 1999

View Article titled, Helicopter Gearbox Fault Detection: A Neural Network Based Approach

Topics: Artificial neural networks, Flaw detection, Mechanical drives, Failure, Physics, Accelerometers, Helicopters, Military systems, Vibration measurement

Journal citation

NARROW

Experimental Application of Time-Domain Transmissibility Identification to Fault Detection and Localization in Acoustic Systems

A Joint Kurtosis-Based Adaptive Bandstop Filtering and Iterative Autocorrelation Approach to Bearing Fault Detection

Ensemble Noise-Reconstructed Empirical Mode Decomposition for Mechanical Fault Detection

Feature Selection for Fault Detection in Rolling Element Bearings Using Mutual Information

Automated Operating Mode Classification for Online Monitoring Systems

Defect Detection for Bearings Using Envelope Spectra of Wavelet Transform

Toward Intelligent Fault Detection in Turbine Blades: Variational Vibration Models of Damaged Pinned-Pinned Beams

HMM-Based Fault Detection and Diagnosis Scheme for Rolling Element Bearings

Mechanical Fault Detection Based on the Wavelet De-Noising Technique

A Hybrid Analysis Method for Vibration Signals Based on Neural Networks and Pattern Recognition Techniques

Helicopter Gearbox Fault Detection: A Neural Network Based Approach

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