Simulation Research on Rolling Element Bearing Fault Signal Extraction Based on Blind Source Separation

Yong Xiang Zhang; Jie Ping Zhu; Shuai Zhang

doi:10.4028/www.scientific.net/AMR.989-994.3738

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 989-994Simulation Research on Rolling Element Bearing...

Simulation Research on Rolling Element Bearing Fault Signal Extraction Based on Blind Source Separation

Abstract:

In order to extract the fault information from rolling element bearing, combined with Kurtosis criteria and Hessian matrix. An improved rolling element bearing fault signal extraction method is proposed. Kurtosis is the cost function. The method is according to the construction principles of blind source separation (BSS), and it uses an analytically derived Hessian matrix in the maximization process of the cost function used. Then the impact signal is extracted successfully. The effectiveness of the method is demonstrated on simulated signal.

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Periodical:

Advanced Materials Research (Volumes 989-994)

Pages:

3738-3742

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.989-994.3738

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Online since:

July 2014

Authors:

Yong Xiang Zhang*, Jie Ping Zhu, Shuai Zhang

Keywords:

Blind Source Separation, Fault Diagnosis, Kurtosis, Rolling Element Bearing

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* - Corresponding Author

References

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