基于神经网络的柴油机故障诊断  

Fault diagnosis of diesel engine based on neural network

作　　者：王赟松[1] 褚福磊[2] 刘亚东[3] 

机构地区：[1]山东理工大学交通与车辆工程学院,山东淄博255049 [2]清华大学精密仪器与机械学系,北京100084 [3]中国兵器工业集团第五三研究所,山东济南250031

出　　处：《交通运输工程学报》2003年第4期44-47,共4页Journal of Traffic and Transportation Engineering

基　　金：山东省自然科学基金项目(Y2002F17)

摘　　要：基于虚拟仪器技术,开发了柴油发动机信号处理系统,该系统数据采集由传感器与PCI-6023E数据采集卡完成,系统软件采用LABVIEW6.0,根据柴油发动机的典型故障,对系统参数赋值,利用BP神经网络对采集的数据进行处理,进而判断发动机的故障,试验表明该系统是可行的。Based on virtual instrument technology, the fault diagnosis system for diesel engine was developed. Its digital treatment system was consisted of sensors and PCI-6023E collectors, its design software was LABVIEW6. 0. This system character parameters were defined by engine's typical faults. In this system, the collected data were treated with BP neural network to diagnose engine's faults. The tested results show that this system is feasiable. 2 tabs, 6 figs, 9 refs.

关 键 词：汽车工程 神经网络 虚拟仪器 故障诊断 柴油机 

分 类 号：U472.9[机械工程—车辆工程]