基于矢功率谱和D-S证据理论分层融合的旋转机械故障诊断方法

杨春燕; 吴超; 李宏伟

doi:10.3969/j.issn.1004-1478.2012.04.008

July 2012

Article Contents

YANG Chun-yan, WU Chao and LI Hong-wei. A rotating machinery fault diagnosis method based on fusing vector power spectrum and D-S evidence theory[J]. Journal of Light Industry, 2012, 27(4): 30-32. doi: 10.3969/j.issn.1004-1478.2012.04.008

Citation: YANG Chun-yan, WU Chao and LI Hong-wei. A rotating machinery fault diagnosis method based on fusing vector power spectrum and D-S evidence theory[J]. Journal of Light Industry, 2012, 27(4): 30-32. doi: 10.3969/j.issn.1004-1478.2012.04.008 shu

A rotating machinery fault diagnosis method based on fusing vector power spectrum and D-S evidence theory

College of Electr. and Mech. Eng., Zhengzhou Univ. of Light Ind., Zhenzhou 450002, China

Received Date: 2012-03-14
Available Online: 2012-07-15

Abstract

A rotating machinery fault diagnosis method based on fusing vector power spectrum and D-S evidence theory was presented.The method was that two section information was fused respectively in data layer by vector power spectrum,and then the characteristics which were extracted from the vector power spectrum were input to the basis probabilistic neural network classifier for fault identification,and finally,the two-section diagnosis results were entered into D-S evidence theory for decision level fusion.The experi-ment results showed that the method reduces the diagnostic uncertainty and had high correct recognition rate.
- rotating machinery fault diagnosis,
- vector power spectrum,
- D-S evidence theory,
- data fusion
References
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沈阳化工大学材料科学与工程学院沈阳 110142

A rotating machinery fault diagnosis method based on fusing vector power spectrum and D-S evidence theory

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通讯作者: 陈斌, bchen63@163.com