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。
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.
出处
《煤矿机械》
北大核心
2007年第10期192-193,共2页
Coal Mine Machinery
关键词
EMD
自回归谱
气阀
故障诊断
empirical mode decomposition
autoregresslve spectrum
gas valve
fault diagnosis
