Intelligent Fault Diagnosis of Gear Box Based on BSS and SVM

Wei Jin Ma; Rui Xiang Yu; Jun Yuan Wang; Xiao Fei Wan

doi:10.4028/www.scientific.net/AMR.818.218

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 818Intelligent Fault Diagnosis of Gear Box Based on...

Intelligent Fault Diagnosis of Gear Box Based on BSS and SVM

Abstract:

The vibration signal of gear box shows the information of its running state. The thesis explains the basic model and its algorithm of blind source separation, simulates the common fault of gear box in the condition of laboratory, disposing the fault signals of gear box by blind source separation and intelligently identifying the faulty condition of gear box by the method of support vector machine (SVM) after extracting eigenvector, which achieves success.

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Periodical:

Advanced Materials Research (Volume 818)

Pages:

218-223

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.818.218

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Online since:

September 2013

Authors:

Wei Jin Ma, Rui Xiang Yu, Jun Yuan Wang, Xiao Fei Wan

Keywords:

Blind Source Separation, Fault Diagnosis, Gear Box, Support Vector Machine (SVM)

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References

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