Study on fault diagnosis for rotary machinery based on vector spectrum and Petri net

doi:10.3778/j.issn.1002-8331.2010.18.069

Computer Engineering and Applications ›› 2010, Vol. 46 ›› Issue (18): 224-227.DOI: 10.3778/j.issn.1002-8331.2010.18.069

• 工程与应用 • Previous Articles Next Articles

Study on fault diagnosis for rotary machinery based on vector spectrum and Petri net

DONG Xin-min^1，2，HAN Jie²，SHI Lai-de¹，HAO Wei²

1.School of Mechanical Engineering，Tongji University，Shanghai 200092，China
2.Vibration Engineering Research Institute，Zhengzhou University，Zhengzhou 450002，China

Received:2008-12-16 Revised:2009-02-16 Online:2010-06-21 Published:2010-06-21
Contact: DONG Xin-min

基于矢谱和模糊Petri网的旋转机械故障诊断研究

董辛旻^1，2，韩捷²，石来德¹，郝伟²

1.同济大学机械工程学院，上海 200092
2.郑州大学振动工程研究所，郑州 450002

通讯作者: 董辛旻

Abstract

Abstract: The vector spectrum and the fuzzy Petri net are discussed，the fault diagnosis method for rotary machinery based on vector spectrum and the fuzzy Petri net is put forward，and the diagnosis Petri net model is established.Engineering practice indicates that the fault diagnosis accuracy based on vector spectrum and the fuzzy Petri net is higher than that based on the information of single channel and the fuzzy Petri net.

Key words: rotary machinery, fault diagnosis, vector spectrum, Petri net

摘要： 讨论了矢谱融合技术和模糊Petri 网的相关理论，提出了基于矢谱和模糊Petri网的旋转机械故障诊断方法，建立了基于矢谱的旋转机械常见故障诊断Petri网模型。模拟实验结果表明：与基于单通道数据的诊断结果对比，矢谱和模糊Petri网应用于旋转机械常见故障进行诊断，可有效提高旋转机械故障诊断的准确率。

关键词: 旋转机械, 故障诊断, 矢谱, Petri网

CLC Number:

DONG Xin-min^1，2，HAN Jie²，SHI Lai-de¹，HAO Wei². Study on fault diagnosis for rotary machinery based on vector spectrum and Petri net[J]. Computer Engineering and Applications, 2010, 46(18): 224-227.

董辛旻^1，2，韩捷²，石来德¹，郝伟². 基于矢谱和模糊Petri网的旋转机械故障诊断研究[J]. 计算机工程与应用, 2010, 46(18): 224-227.

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Study on fault diagnosis for rotary machinery based on vector spectrum and Petri net

基于矢谱和模糊Petri网的旋转机械故障诊断研究

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