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
1. [1]
  陈先利,韩捷.全矢力谱及其在旋转机械故障诊断中的应用研究[J].机床与液压,2008,36(4):202.
2. [2]
  李志农,韩捷.机械故障诊断矢功率谱-支持向量机识别方法研究[J].计算机工程与应用,2007,43(8):214.
3. [3]
  周宇,韩捷,李志农.基于矢Wigner分布的旋转机械故障诊断方法的研究[J].矿山机械,2007(4):102.
4. [4]
  吴胜强,姜万录.基于证据理论多源多特征融合的柱塞泵故障诊断方法[J].中国工程机械学报,2011,9(1):98.
5. [5]
  杨春燕,丁静.基于全矢谱和径向基概率神经网络的旋转机械故障诊断方法研究[J].现代制造工程,2010(1):141.
6. [6]
  温熙森.模式识别与状态监控[M].北京:科学出版社,2007.
Proportional views

Get Citation

PDF

XML

Article Metrics

Article views(709) PDF downloads(28) Cited by()

Ralated

通讯作者: 陈斌, bchen63@163.com

1.
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

Abstract

References

Proportional views

Article Metrics

Ralated

Proportional views

通讯作者: 陈斌, bchen63@163.com