| RBF神经网络在柴油机燃油系统故障诊断中的应用研究 |
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| 引用本文： | 石灵丹,槐博超,马修真,华斌,朱歆州.RBF神经网络在柴油机燃油系统故障诊断中的应用研究[J].船电技术,2009,29(8):18-22. |
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| 作者姓名： | 石灵丹 槐博超 马修真 华斌 朱歆州 |
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| 作者单位： | 1. 中国船舶重工集团公司七一二研究所,武汉,430064
2. 哈尔滨工程大学,哈尔滨,150001 |
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| 摘 要： | 本文主要介绍了径向基（RBF）神经网络在柴油机燃油系统故障诊断中的应用，并且首次将神经网络和虚拟仪器技术相结合，成功用于柴油机故障诊断中。比较了RBF和误差反传（BP）神经网络的学习速度和诊断精度。研究表明，将RBF神经网络和虚拟仪器相结合进行柴油机故障诊断具有良好的诊断效果和精度，有很好的工程应用前景。
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| 关 键 词： | RBF神经网络 柴油机 燃油系统 故障诊断 虚拟仪器 |
Research on Application of RBF Neural Network in the Diesel Engine Fuel System Fault Diagnosis |
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| Shi Lingdan,Huai Bochao,Ma Xiuzhen,Hua Bin,Zhu Xinzhou.Research on Application of RBF Neural Network in the Diesel Engine Fuel System Fault Diagnosis[J].Marine Electric & Electronic Technology,2009,29(8):18-22. |
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| Authors: | Shi Lingdan Huai Bochao Ma Xiuzhen Hua Bin Zhu Xinzhou |
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| Institution: | Shi Lingdan, Huai Bochao, Ma Xiuzhen, Hua Bin, Zhu Xinzhou(1 Wuhan Institute of Marine Electric Propulsion, CSIC, Wuhan 430064, China; 2. Harbin Engineering University, Harbin 150001, China) |
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| Abstract: | This paper introduces the application of a radial basis （RBF） neural network in diesel engine fuel system fault diagnosis, and great success achieved on combining the neural network with virtual instrument technology in the fault diagnosis of Diesel engine for the first time. At the same time the learning speed and accuracy of diagnosis in RBF and error back propagation （BP） neural network is compared. Research shows that with a combination of RBF neural network and virtual instrument, diesel engine fault diagnosis has a good diagnosis accuracy, and good prospect of engineering applications. |
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| Keywords: | RBF neural network diesel engine fuel system fault diagnosis virtual instrument |
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