Health Status Identification of Connecting Rod Bearing Based on Support Vector Machine
Connecting rod bearing (CRB) is an important component which joins the reciprocating and rotating movements together in the internal combus-tion engine (ICE). It is very difficult to identify health status of CRB because of variable working process, complicated excitation and distribution sources, and lack of fault samples. Support vector machine (SVM), which has excellent ca-pability in small data case, was introduced to identify the health status of CRB. In this paper, faults of the CRB were simulated in an ICE with the type of EQ6100. Vibration features were extracted from vibration signals acquired from the shell of ICE. And a SVM multi-classifier was designed to identify health status of CRB by using the radial basis kernel function. Experimental re-sults indicated that the presented fault diagnosis method could effectively rec-ognize different conditions of CRB.
Support Vector Machine Internal Combustion Engine Connecting Rod Bearing, Fault Diagnosis.
Yongbin Liu Qingbo He Ping Zhang Zhongkui Zhu Fanrang Kong
Department of Precision Machinery and Precision Instrumentation,University of Science and Technology School of Urban Rail Transportation, Soochow University, Suzhou, Jiangsu 215021, China
国际会议
南昌
英文
206-214
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）