Title :
Condition monitoring and fault detection of a compressor using signal processing techniques
Author :
Zhang, Youmin ; Jiang, Jin ; Flatley, Martin ; Hill, Bryan
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Western Ontario, London, Ont., Canada
Abstract :
Several techniques developed for performance monitoring and fault detection of machinery in the petrochemical industry is presented. The main objective is to perform condition monitoring and fault detection of a compressor based on the collected vibration and other on-site data from a Bently Navada data acquisition system. The analysis techniques developed, configuration and functions of the computer program are also briefly introduced. The techniques can be divided into four parts: (1) time-domain analysis, (2) frequency-domain analysis, (3) orbit analysis, and (4) trend analysis. The program developed has been tested using on-site data from a compressor at Suncor Inc
Keywords :
compressors; condition monitoring; fault diagnosis; frequency-domain analysis; petroleum industry; signal processing; statistical analysis; time-domain analysis; compressor; condition monitoring; fault detection; frequency-domain analysis; orbit analysis; petrochemical industry; signal processing; statistical analysis; time-domain analysis; trend analysis; Chemical industry; Condition monitoring; Electric breakdown; Electrical fault detection; Fault detection; Fault diagnosis; Machinery; Signal analysis; Signal processing; Vibrations;
Conference_Titel :
American Control Conference, 2001. Proceedings of the 2001
Conference_Location :
Arlington, VA
Print_ISBN :
0-7803-6495-3
DOI :
10.1109/ACC.2001.945681
