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基于高阶谱的旋转机械故障征兆提取
引用本文:杨江天,陈家骥,曾子平.基于高阶谱的旋转机械故障征兆提取[J].振动工程学报,2001,14(1):13-18.
作者姓名:杨江天  陈家骥  曾子平
作者单位:1. 北京科技大学机械工程学院
2. 天津大学机械工程学院
摘    要:研究了旋转机械振动信号的非线性特征,分析了产生非线性的机制,着重讨论了二次相位耦合与机械故障的关系,在此基础上将高阶谱分析引入转子故障诊断。高阶谱保留了信号的相位信息且能有效抑制噪声,可以定量描述非线性性相位耦合,试验分析表明,对于不同类型的故障,高阶谱特征存在明显差异,因中用于故障模式识别,高阶谱丰富了旋转机械故障诊断系统知识库中的振动特征信息,用于工业现场能大大提高诊断准确性。

关 键 词:旋转机械故障诊断  二次相位耦合  高阶谱  故障征兆提取
修稿时间:1999年11月20

Extracting Fault Features Using Higher Order Spectra for Rotating Machinery
Yang Jiangtian,Chen Jiaji,Zeng Ziping.Extracting Fault Features Using Higher Order Spectra for Rotating Machinery[J].Journal of Vibration Engineering,2001,14(1):13-18.
Authors:Yang Jiangtian  Chen Jiaji  Zeng Ziping
Abstract:Based on a review of the nonlinear properties of machinery vibration signals, the mechanisms giving rise to nonlinear phase coupling are discussed. Emphasis is focused on the relationship between faults and quadratic phase coupling. As a result, higher order spectra are introduced into fault diagnosis of rotors. Unlike power spectra, higher order spectra preserve phase information and offer convenient means for identifying phase coupling. Moreover higher order spectra provide a good way to suppress noises. Experiments show that higher order spectra patterns of different faults are quite different, so it is proposed to take it to identify the faults in rotors. The higher order spectra can enrich the vibration feature information for the knowledge base of the rotating machinery fault diagnosis system and are of great significance to diagnose faults in industrial equipments accurately.
Keywords:rotating  machinery  fault  diagnosis  quadratic  phase  coupling  higher  order  spectra  bicoherence  spectrum  
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