Research on Fault Diagnosis Based on SVM

Wan Ling Li; Zhen Sheng Wang; Da Quan Deng; Jun Tang

doi:10.4028/www.scientific.net/AMM.341-342.843

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 341-342Research on Fault Diagnosis Based on SVM

Research on Fault Diagnosis Based on SVM

Abstract:

In order to improve the fault diagnosis precision of electron system, a method based on wavelet packet transform and SVM was proposed. Fault diagnosis method based on SVM was researched on in this paper because of the complexity of electron system, difficulty of fault diagnosis method and special advantages of SVM. Wavelet packet transform is used to extract fault features from the signal of the circuit output voltage. The specific feature extraction method is introduced. Improved QPSO algorithm was proposed to improve the training speed and class precision of SVM. At last the method mentioned above was applied to a circuit. The result showed that this method was very good.

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Periodical:

Applied Mechanics and Materials (Volumes 341-342)

Pages:

843-846

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.341-342.843

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Online since:

July 2013

Authors:

Wan Ling Li, Zhen Sheng Wang, Da Quan Deng, Jun Tang

Keywords:

Fault Diagnosis, Improved QPSO, Multi-Class SVM, QPSO, Support Vector Machine (SVM)

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