| 改进的BP算法在柴油机故障诊断中的应用研究 |
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| 引用本文： | 王悦民,潜伟建. 改进的BP算法在柴油机故障诊断中的应用研究[J]. 海军工程大学学报, 2000, 0(4): 36-40,48 |
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| 作者姓名： | 王悦民 潜伟建 |
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| 作者单位： | 海军工程大学动力工程学院,湖北,武汉,430033 |
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| 摘 要： | 利用改进BP算法的神经网络对柴油机进行故障诊断.首先讨论了其训练算法,然后确定了柴油机故障诊断所用特征参数及故障种类,并提出特征参数数据归一化公式,最后以6-135ZC柴油机为例,将实验数据输入网络验证.结果表明,神经网络对柴油机故障识别率很高,应用于柴油机故障诊断领域是切实可行的.
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| 关 键 词： | 柴油机 神经网络 故障诊断 BP算法 |
| 修稿时间： | 1999-09-27 |
The application based on an improved BP Algorithm to the fault diagnosis of diesel engine |
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| WANG Yue-min,QIAN Wei-jian. The application based on an improved BP Algorithm to the fault diagnosis of diesel engine[J]. Journal of Naval University of Engineering, 2000, 0(4): 36-40,48 |
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| Authors: | WANG Yue-min QIAN Wei-jian |
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| Abstract: | Application of neural networks to diagnose the fault of diesel engines by using improved BP Algorithm is studied. First, the improved BP Algorithm is discussed, then, the diagnosis parameters and the kinds of diagnosis used by diagnosing diesel engine fault are given . In addition , the best fit curve equations of feature parameters are presented. At last, 6-135ZC diesel engine is exampled for this, and the neural networks is verified by using the fault data of diesel engine. Experimental result demonstrates that the result of diagnosis to diesel engine fault is of great accuracy, the application of neural networks to this field is useful and reliable. |
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| Keywords: | diesel engine neural networks fault diagnosis BP Algorithm |
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