Page 1 | Search Results | Journal of Vibration and Acoustics

1-13 of 13

Sort by

Sort Order Select

Journal Articles

Rolling Element Bearing Diagnostics Using Extended Phase Space Topology

T. Haj Mohamad, M. Samadani, C. Nataraj

Publisher: ASME

J. Vib. Acoust. December 2018, 140(6): 061009.

Paper No: VIB-17-1527

https://doi.org/10.1115/1.4040041

Published Online: May 14, 2018

View Article titled, Rolling Element Bearing Diagnostics Using Extended Phase Space Topology

Topics: Bearings, Density, Feature extraction, Phase space, Rolling bearings, Topology, Vibration, Machinery, Probes, Polynomials

Journal Articles

Use of Time-Series Predictive Models for Piezoelectric Active-Sensing in Structural Health Monitoring Applications

Eloi Figueiredo, Gyuhae Park, Kevin M. Farinholt, Charles R. Farrar, Jung-Ryul Lee

Publisher: ASME

J. Vib. Acoust. August 2012, 134(4): 041014.

https://doi.org/10.1115/1.4006410

Published Online: June 1, 2012

View Article titled, Use of Time-Series Predictive Models for Piezoelectric Active-Sensing in Structural Health Monitoring Applications

Topics: Composite materials, Damage, Feature extraction, Sensors, Structural health monitoring, Time series

Journal Articles

Phase Space Feature Based on Independent Component Analysis for Machine Health Diagnosis

Qingbo He, Ruxu Du, Fanrang Kong

Publisher: ASME

J. Vib. Acoust. April 2012, 134(2): 021014.

https://doi.org/10.1115/1.4005006

Published Online: January 19, 2012

View Article titled, Phase Space Feature Based on Independent Component Analysis for Machine Health Diagnosis

Topics: Machinery, Phase space, Signals, Vibration, Independent component analysis, Feature extraction, Dimensions

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

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

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

Ruqiang Yan, Robert X. Gao, Changting Wang

Publisher: ASME

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

https://doi.org/10.1115/1.3147125

Published Online: June 18, 2009

View Article titled, Experimental Evaluation of a Unified Time-Scale-Frequency Technique for Bearing Defect Feature Extraction

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

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

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

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

Rotary Machine Health Diagnosis Based on Empirical Mode Decomposition

Ruqiang Yan, Robert X. Gao

Publisher: ASME

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

https://doi.org/10.1115/1.2827360

Published Online: February 4, 2008

View Article titled, Rotary Machine Health Diagnosis Based on Empirical Mode Decomposition

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

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

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

Isolation of the Spectrograms and Rosettes of Insonified Sets of Submerged, Concentric, Thin Shells

G. C. Gaunaurd, A. Akay

Publisher: ASME

J. Vib. Acoust. October 1994, 116(4): 573–577.

https://doi.org/10.1115/1.2930466

Published Online: October 1, 1994

View Article titled, Isolation of the Spectrograms and Rosettes of Insonified Sets of Submerged, Concentric, Thin Shells

Topics: Thin shells, Resonance, Fluids, Shells, Cavities, Echoes, Electromagnetic scattering, Feature extraction, Radiation scattering, Scattering (Physics)

Journal citation

NARROW

Rolling Element Bearing Diagnostics Using Extended Phase Space Topology

Use of Time-Series Predictive Models for Piezoelectric Active-Sensing in Structural Health Monitoring Applications

Phase Space Feature Based on Independent Component Analysis for Machine Health Diagnosis

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

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

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

Automated Operating Mode Classification for Online Monitoring Systems

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

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

Rotary Machine Health Diagnosis Based on Empirical Mode Decomposition

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

Pattern Recognition for Automatic Machinery Fault Diagnosis

Isolation of the Spectrograms and Rosettes of Insonified Sets of Submerged, Concentric, Thin Shells

ASME Journals

ASME Conference Proceedings

ASME eBooks

Resources

Opportunities

ASME Journals

ASME Conference Proceedings

ASME eBooks

Resources

Opportunities

This Feature Is Available To Subscribers Only