文献类型：会议论文

英文题名：Intelligent Diagnosis of Diesel Engine Wear Fault

作者：Long, Jian-Xiong[1]

第一作者：龙建雄

通讯作者：Long, JX[1]

机构：[1]Beijing Union Univ, Coll Appl Sci & Technol, Beijing 102200, Peoples R China

第一机构：北京联合大学应用科技学院

通讯机构：[1]corresponding author), Beijing Union Univ, Coll Appl Sci & Technol, Beijing 102200, Peoples R China.|[1141775]北京联合大学应用科技学院;[11417]北京联合大学;

会议论文集：International Conference on Mechanical Engineering and Control Automation (ICMECA)

会议日期：JAN 09-10, 2016

会议地点：Wuhan, PEOPLES R CHINA

语种：英文

外文关键词：Diesel Engine; Oil Spectrum Analysis; Wear Failure; Intelligent Diagnosis

摘要：The problem of using the oil spectrum analysis to detect and diagnose the wear failure of the locomotive diesel engine is discuss in this paper, and a wear energy detection equation is presented, which is composed of innovation series of the wear process dynamic system. A main factor diagnosis method for the diagnosis of abnormal wear is proposed, and the method of the main coordinate distribution is proposed to detect the wear failure of the engine. Through the application of a practical example, it is proved that the theory is correct and the application effect is good.