| 基于人工神经网络的矿用汽车发动机故障诊断的理论研究 |
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| 引用本文： | 杨文平,石博强.基于人工神经网络的矿用汽车发动机故障诊断的理论研究[J].河北理工学院学报,1998,20(4):18-22. |
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| 作者姓名： | 杨文平 石博强 |
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| 作者单位： | [1]唐山高等专科学校 [2]北京科技大学 |
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| 摘 要： | 结合大型矿用汽车发动机的振动信号，利用ＢＰ神经网络对汽车发动机的故障诊断进行了探讨，对网络的结构及其学习参数进行了研究，为对汽车发动机实施故障诊断与在线监测提供了一种有效方法。
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| 关 键 词： | 神经网络 故障诊断 发动机 矿用汽车 |
A THEORETICAL STUDY OF MINING TRUCK ENGINE FAULTS DIAGNOSIS BASED ON ARTIFICIAL NEURAL NETWORK |
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| Yang Wenping,Guo Yunshan,Wang Tianjie.A THEORETICAL STUDY OF MINING TRUCK ENGINE FAULTS DIAGNOSIS BASED ON ARTIFICIAL NEURAL NETWORK[J].Journal of Hebei Institute of Technology,1998,20(4):18-22. |
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| Authors: | Yang Wenping Guo Yunshan Wang Tianjie |
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| Abstract: | According to the vibration signal of mine engine,a failure diagnose method was discussed in this pape by BP Neural Network.The structure and study parameter of the Neural Network was researched.So an efficient method was offered to the truck engine for its failure diagnose and monitor on line. |
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| Keywords: | Neural network Faults diagnosis Truck engine |
| 本文献已被 CNKI 维普 等数据库收录！ |
