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

作　　者：张国新[1] 蔡改贫[1] 朱家俊[1] 

机构地区：[1]江西理工大学机电工程学院,江西赣州341000

出　　处：《煤矿机械》2007年第10期192-193,共2页Coal Mine Machinery

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.

关 键 词：EMD 自回归谱 气阀 故障诊断 

分 类 号：TH133[机械工程—机械制造及自动化] TN911.72[电子电信—通信与信息系统]