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基于EMD与自回归谱的往复压缩机气阀故障诊断
Fault Diagnosis of Reciprocating Compressor Valves Based on EMD and AR Spectrum
【摘要】 EMD是一种适用于非线性、非平稳信号的自适应分析方法,故障信号经EMD分解后,提取对故障敏感的分量作自回归谱分析,可以得到高信噪比的特征量。试验分析表明,该方法对压缩机气阀故障诊断是有效的。
【Abstract】 As a signal analysis method,both empirical mode decomposition and autoregresslve spectrum are introduced.EMD method can decompose the signal into some intrinsic mode function.Use a intrinsic mode function corresponding to fault,autoregresslve spectrum method can make a good character parameter having high SNR.Experiment shows that this method is efficient in fault diagnosis of reciprocating compressor valves.
【关键词】 EMD;
自回归谱;
气阀;
故障诊断;
【Key words】 empirical mode decomposition; autoregresslve spectrum; gas valve; fault diagnosis;
【Key words】 empirical mode decomposition; autoregresslve spectrum; gas valve; fault diagnosis;
- 【文献出处】 煤矿机械 ,Coal Mine Machinery , 编辑部邮箱 ,2007年10期
- 【分类号】TH45
- 【被引频次】12
- 【下载频次】156