Rolling Bearing Fault Diagnosis Approach Based on PPCA Denoising and Cyclic Bispectrum Method

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A new method for bearing fault diagnosis is proposed based on Probabilistic Principal Component Analysis (PPCA) and Cyclic Bispectrum (CB). The first procedure is signal de-noised using PPCA and the second procedure is the CB analysis. The effectiveness of the proposed method is demonstrated by numerical simulation and experimental investigation of a rolling bearing with outer race fault.

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Edited by:

Prasad Yarlagadda

Pages:

26-29

Citation:

B. Z. Jiang and J. W. Xiang, "Rolling Bearing Fault Diagnosis Approach Based on PPCA Denoising and Cyclic Bispectrum Method", Applied Mechanics and Materials, Vols. 536-537, pp. 26-29, 2014

Online since:

April 2014

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$38.00

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DOI: https://doi.org/10.1007/s10010-005-0018-9