基于多尺度样本熵的往复式压缩机故障诊断方法研究  

Study on Fault Diagnosis Method of Reciprocating Compressors Based on Multi-scale Sample Entropy

作　　者：田智[1] 朱琴[1] 练兴元[1] 朱涛[1] 王雪[2] 

机构地区：[1]中石油西南油气田分公司川西北气矿,四川江油621700 [2]重庆科技学院电气与信息工程学院,重庆401331

出　　处：《机械设计与制造工程》2014年第3期78-82,共5页Machine Design and Manufacturing Engineering

摘　　要：往复式压缩机工作时的振动信号非常复杂,对采样数据经过替代数据法和最大Lyapunov指数分析后发现具有一定的非线性和弱混沌性,这样的数据特征在其故障诊断时较适合采用样本熵(Sample Entropy,SampEn)进行处理。为实现往复式压缩机振动故障诊断,研究了振动信号符号化处理方法,提出了符号序列的SampEn算法,分析了不同时延参数下SampEn值曲线的几何特征,并利用该几何特征构建了故障的标准模板,通过该模板实现了故障诊断。实验证明,利用SampEn可以进行压缩机典型故障的诊断,该方法具有工程实用价值。The vibration signals are very complex and nonlinear in the reciprocating compressor working process . Based on surrogated date method and max Lyapunov exponent method , it shows weak nonlinearity and chaos . Such data character in its fault diagnosis is more suitable for the sample entropy models .For the realization of the reciprocating compressor vibration fault diagnosis , it presents the method to transfer dynamic signals into symbol-ic sequence , proposes SampEn algorithm based on symbolic sequence and the geometry characters of SampEn value.Experiments show that the proposed method is a valid tool to distinguish different fault diagnosis of recip -rocating compressors .

关 键 词：往复式压缩机 振动 样本熵 故障诊断 

分 类 号：TU17[建筑科学—建筑理论]