Research on Rolling Element Bearing Fault Diagnosis Based on Singular Value Decomposition and Kurtosis Criterion

Xiao Lin Wang; Yong Xiang Zhang; Jie Ping Zhu; Zhong Qi Shi

doi:10.4028/www.scientific.net/AMM.432.304

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 432Research on Rolling Element Bearing Fault...

Research on Rolling Element Bearing Fault Diagnosis Based on Singular Value Decomposition and Kurtosis Criterion

Abstract:

In order to extract the faint fault information from complicated vibration signal of bearing, a new feature extraction method based on singular value decomposition (SVD) and kurtosis criterion is proposed in my work. According to the method, a group of component signals are obtained firstly using SVD, then component signals with equal kurtosis are selected to be summed together, and the weak fault signal is clearly extracted. The effectiveness of the method is demonstrated on both simulated signal and actual data.

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Periodical:

Applied Mechanics and Materials (Volume 432)

Pages:

304-309

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.432.304

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Online since:

September 2013

Authors:

Xiao Lin Wang, Yong Xiang Zhang, Jie Ping Zhu, Zhong Qi Shi

Keywords:

Fault Diagnosis, Kurtosis, Rolling Bearing, Singular Value Decomposition

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References

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