Fault Diagnosis of Nuclear-Powered Equipment Based on HMM＆SVM

YUE Xia; ZHANG Chunliang; QUAN Yanming; ZHU Houyao

Mar. 2025

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YUE Xia, ZHANG Chunliang, QUAN Yanming, ZHU Houyao. Fault Diagnosis of Nuclear-Powered Equipment Based on HMM＆SVM[J]. Nuclear Power Engineering, 2012, 33(3): 104-108.

Citation:

YUE Xia, ZHANG Chunliang, QUAN Yanming, ZHU Houyao. Fault Diagnosis of Nuclear-Powered Equipment Based on HMM＆SVM[J]. Nuclear Power Engineering, 2012, 33(3): 104-108.

YUE Xia, ZHANG Chunliang, QUAN Yanming, ZHU Houyao. Fault Diagnosis of Nuclear-Powered Equipment Based on HMM＆SVM[J]. Nuclear Power Engineering, 2012, 33(3): 104-108.

Citation:

YUE Xia, ZHANG Chunliang, QUAN Yanming, ZHU Houyao. Fault Diagnosis of Nuclear-Powered Equipment Based on HMM＆SVM[J]. Nuclear Power Engineering, 2012, 33(3): 104-108.

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Fault Diagnosis of Nuclear-Powered Equipment Based on HMM＆SVM

1. South China University of Technology, Guangzhou, 510641, China;
2. Guangzhou University, Guangzhou, 510006, China

Received Date: 2012-01-11
Rev Recd Date: 2012-03-19

Available Online: 2025-03-08

Abstract

Abstract

For the complexity and the small fault samples of nuclear-powered equipment,a hybrid HMM/SVM method was introduced in fault diagnosis.The hybrid method has two steps: first,HMM is utilized for primary diagnosis,in which the range of possible failure is reduced and the state trends can be observed;then faults can be recognized taking the advantage of the generalization ability of SVM.Experiments on the main pump failure simulator show that the HMM/SVM system has a high recognition rate and can be used in the fault diagnosis of nuclear-powered equipment.
- Fault diagnosis,
- Hidden Markov model,
- Support vector machine,
- Nuclear-powered equipment