Rolling Bearing Fault Diagnosis Based on Blind Source Separation

Chang Zheng Chen; Qiang Meng; Hao Zhou; Yu Zhang

doi:10.4028/www.scientific.net/AMM.217-219.2546

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 217-219Rolling Bearing Fault Diagnosis Based on Blind...

Rolling Bearing Fault Diagnosis Based on Blind Source Separation

Abstract:

This document presents fault diagnosis method of rolling bearing based on blind source separation. The algorithm based on fast ICA is improved to separate fault signals according to the rolling bearing’s fault characteristics. Through the experiment it is shown that the algorithm can separate the signals collected from rolling bearing and gearbox effectively, which can provide a new method for fault diagnosis and signal processing of machinery equipment.

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Periodical:

Applied Mechanics and Materials (Volumes 217-219)

Pages:

2546-2549

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.217-219.2546

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Online since:

November 2012

Authors:

Chang Zheng Chen, Qiang Meng, Hao Zhou, Yu Zhang

Keywords:

Blind Source Separation, Fast ICA, Fault Diagnosis, Rolling Bearing

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References

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