Fault Diagnosis of Rolling Bearing Based on Kernel Independent Component Analysis by Using Mixed Kernel Function

Bo Zeng; An Hua Chen; Ling Li Jiang

doi:10.4028/www.scientific.net/AMM.312.593

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 312Fault Diagnosis of Rolling Bearing Based on Kernel...

Fault Diagnosis of Rolling Bearing Based on Kernel Independent Component Analysis by Using Mixed Kernel Function

Abstract:

Studies have shown that the type of kernel function and parameters have a very important impact on the performance of the kernel method. Aiming at the requirement of rolling bearing fault diagnosis, this paper presents a mixed kernel function of kernel independent component and studies on the optimization of its kernel parameters. The mixed kernel function is constructed based on the weighted fusion method, and the kernel parameters are optimized by using the genetic algorithm. The improved kernel independent component method is used for fault diagnosis of rolling bearing, and the testing results demonstrate that it is an effective method.

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Periodical:

Applied Mechanics and Materials (Volume 312)

Pages:

593-596

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.312.593

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Online since:

February 2013

Authors:

Bo Zeng, An Hua Chen, Ling Li Jiang

Keywords:

Fault Diagnosis of Rolling Bearing, Kernel Independent Component, Mixed Kernel Function

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References

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