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Keywords: bearing fault diagnosis
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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
Journal: Journal of Vibration and Acoustics
Publisher: ASME
Article Type: Research-Article
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
... on the grey wolf optimizer (GWO) algorithm for rolling bearing fault diagnosis. The periodical stochastic resonance (PSR) model can independently adjust the system parameters and effectively avoid output saturation. The GWO algorithm is introduced to optimize the PSR model parameters to achieve adaptive...
View Article titled, An Adaptive Periodical Stochastic Resonance Method Based on the Grey Wolf Optimizer Algorithm and Its Application in Rolling <span class="search-highlight">Bearing</span> <span class="search-highlight">Fault</span> <span class="search-highlight">Diagnosis</span>
Open the PDF for An Adaptive Periodical Stochastic Resonance Method Based on the Grey Wolf Optimizer Algorithm and Its Application in Rolling <span class="search-highlight">Bearing</span> <span class="search-highlight">Fault</span> <span class="search-highlight">Diagnosis</span> in another window
Topics: Algorithms, Bearings, Fault diagnosis, Resonance, Signals, Rolling bearings, Noise (Sound)
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.
Journal: Journal of Vibration and Acoustics
Publisher: ASME
Article Type: Research Papers
J. Vib. Acoust. October 2008, 130(5): 051007.
https://doi.org/10.1115/1.2948399
Published Online: August 14, 2008
... Morlet wavelet, Figs. 3a 3b depict the scale-kurtosis distribution of the WT using Morlet and Laplace wavelets, respectively, for different bearing conditions. The comparison of the two figures indicates the high sensitivity of the Laplace wavelet over the Morlet wavelet for bearing fault diagnosis...
View Article titled, Application of the Laplace-Wavelet Combined With ANN for Rolling <span class="search-highlight">Bearing</span> <span class="search-highlight">Fault</span> <span class="search-highlight">Diagnosis</span>
Open the PDF for Application of the Laplace-Wavelet Combined With ANN for Rolling <span class="search-highlight">Bearing</span> <span class="search-highlight">Fault</span> <span class="search-highlight">Diagnosis</span> in another window
Topics: Artificial neural networks, Bearings, Rolling bearings, Vibration, Wavelets, Genetic algorithms, Fault diagnosis, Signals