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基于神经网络的柴油机故障诊断

Fault diagnosis of diesel engine based on neural network

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【作者】 王赟松褚福磊刘亚东

【Author】 WANG Yun-song, CHU Fu-lei, LIU Ya-dong (School of Traffic and Vehicle, Shandong University of Technology, Zibo 255049, China;Department of Precision Instruments and Mechanics, Tsinghua University, Beijing 100084, China;The 53RD Research Institute of China North Industries Group Corporation, Jinan 250031, China)

【机构】 山东理工大学交通与车辆工程学院清华大学精密仪器与机械学系中国兵器工业集团第五三研究所 山东 淄博 255049北京 100084山东 济南 250031

【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。

【Abstract】 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.

【基金】 山东省自然科学基金项目(Y2002F17)
  • 【文献出处】 交通运输工程学报 ,Journal of Traffic and Transportation Engineering , 编辑部邮箱 ,2003年04期
  • 【分类号】U472.9
  • 【被引频次】10
  • 【下载频次】198
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