Study on the Fault Diagnosis for Scroll Compressor Based on Information Entropy

Abstract

In order to make a quantitative description for the running status of the scroll compressor, a fault diagnosis method combined with the theory of entropy and grey incidence degrees in information theory is set up. Based on singular spectrum entropy in time domain, power spectrum entropy in frequency domain, wavelet power spectrum entropy and wavelet space feature spectrum entropy in time-frequency domain, the method is used as the comprehensive indicator to evaluate of the vibration status of scroll compressors. An example proves that the method is effective and can be used to identify several kinds of fault state of scroll compressor successfully. Keywords-scroll compressor; information entropy; grey incidence degrees; fault diagnosis