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《Journal of Beijing Institute of Technology》 2001-03
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Genetic Algorithms in Compressor Failure Diagnosis

CI Jian ping 1, ZHANG Wei min 1, NA Rong qi 1, TANG Hua 2 (1 School of Mechanical Engineering and Automation, Beijing Institute of Technology, Beijing100081, China; 2 School of Mechano Electronics Engineering, Beijing Institute of Tec  
Compressor fault diagnosis is studied with the aid of genetic algorithms (GA). Through GA the optimal combination of the characteristic parameters is searched and the compressor fault distinguished. The diagnosis precision can thus be increased. Optimal combination by GA has been used to distinguish different faults and proved to be effective to compressor fault diagnosis as well as to machine fault diagnosis in general.
【Fund】: 国家教委留学回国人员科研资助项目
【CateGory Index】: TB652
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