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The Research on Fault Diagnosis for Diesel Engines based on BP Neural Networks

机译:基于BP神经网络的柴油机故障诊断研究。

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The paper analyzes the limitations on the traditional fault diagnosis in the engine fault diagnosis ,and than propose neural network system based on intelligent diagnosis combined with the characteristics of diesel engines. It also proposes neural network system based on intelligent diagnosis and discusses the principles of the diagnosis and the learning rules of the BP Neural Networks. Through a large number of the diagnostic test results show that, Using BP neural network fault diagnosis method can effectively improve the accuracy of diesel engine fault diagnosis and effectiveness.
机译:分析了传统故障诊断技术在发动机故障诊断中的局限性,提出了基于智能诊断结合柴油机特点的神经网络系统。还提出了基于智能诊断的神经网络系统,并讨论了诊断原理和BP神经网络的学习规则。通过大量的诊断测试结果表明,采用BP神经网络的故障诊断方法可以有效提高柴油机故障诊断的准确性和有效性。

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