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

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 symbolic 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 reciprocating compressors.