Fault Diagnosis for Reciprocating Air Compressor Valve Using P-V Indicator Diagram and SVM

摘要：

This paper presents a method of fault diagnosis for the reciprocating air compressor valve based on the indicator diagram and the support vector machine (SVM). This paper strikes 7 invariant moments of the indicator diagram of reciprocating air compressor, using image processing methods, according to the same moment theory. Then the method can be used to extract effective features as feature vectors for training the support vector machine, and achieve fault diagnosis for reciprocating air compressor valve. Finally, the paper simulate 5 kinds of working conditions of valve to identify using the fault monitoring system of reciprocating compressor valve, in order to verify the feasibility and effectiveness of the method.

关键词： indicator diagram SVM reciprocating air compressor valve failure

作者: Fengtao Wang Lutao Song Liang Zhang Haifeng Li

作者单位: Research Institute of Vibration Dalian University of Technology Dalian, China

会议类型: 国际会议

会议名称: Third International Symposium on Information Science and Engineering(第三届信息科学与工程国际会议 ISISE 2010)

会议地点: 上海

会议语种:英文

页码: 255-258

在线出版日期: 2010-12-24（万方平台首次上网日期，不代表论文的发表时间）