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School of Mechanical and Electronical Engineering, Lanzhou University of Technology, Lanzhou 730050, China





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Academic Editor: Raúl Alcaraz Martínez

Abstract Vibration-based condition monitoring and fault diagnosis is an effective approach to maintain the reliable operation of a scroll compressor. Unfortunately, the vibration signal from the scroll compressor always has characteristics of being non-linear and non-stationary, which makes vibration signal analysis and fault feature extraction very difficult. To extract the significant fault features, a vibration analysis method based on Wavelet entropy is proposed in this paper. Two forms of the wavelet entropy, namely the wavelet space feature spectrum entropy WSFSE and the wavelet energy spectrum entropy WESE, are defined to depict instantaneous characteristics of the local variation of the vibration signal. Four types of mechanical faulty vibration signal, namely unbalanced rotor, malfunctioning scroll, loosened mechanical assembly, and loosened bearing, are analyzed by using the proposed approach. The experimental results show that feature components and energy distribution of each fault signal is accurately identified and revealed, which proves that the combined application of WSFSE and WESE approach is a successful scheme for the vibration analysis of scroll compressors. View Full-Text

Keywords: vibration analysis; fault feature extraction; wavelet entropy; feature component; scroll compressor vibration analysis; fault feature extraction; wavelet entropy; feature component; scroll compressor





Autor: Tao Liu * and Zaixin Wu

Fuente: http://mdpi.com/



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