基于局域波法和K-L信息量的柴油机故障诊断方法  

Approach to fault diagnosis of diesel engine based on local-wave method and K-L information

作　　者：王珍[1] 马孝江[1] 李吉[2] 李宏坤[1] 

机构地区：[1]大连理工大学振动工程研究所,辽宁大连116024 [2]大连大学机械工程系,辽宁大连116622

出　　处：《大连理工大学学报》2003年第4期461-465,共5页Journal of Dalian University of Technology

摘　　要：针对柴油机表面振动信号的非平稳时变特性,采用局域波分析方法将实测信号分解为多个内蕴模式分量,提出了基于内蕴模式分量K-L信息量的柴油机故障检测方法.然后以正常状态为参考状态,对活塞缸套间的3种磨损故障实例进行了分析,结果证明了该方法在柴油机故障诊断中的有效性和工程实用性.Aiming at the non-stationary time-varying characteristics of the vibration signal from diesel engine surface, tested signals were decomposed to number of intrinsic mode weights using local-wave method, and these weights were analyzed by time series method, then the method for fault diagnosis of diesel engine was presented based on K-L information. Three stations of piston-linear wear were diagnosed in view of normal station. The results show that this method is valid and practicable in engineering.

关 键 词：柴油机 故障诊断 局域波法 K—L信息量 表面振动信号 磨损故障 

分 类 号：TK428[动力工程及工程热物理—动力机械及工程]