| 基于神经网络的内燃机活塞-缸套磨损的故障诊断 |
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| 引用本文： | 孙建民,晋小莉,何博雄,徐冰晶,王立莹.基于神经网络的内燃机活塞-缸套磨损的故障诊断[J].小型内燃机与摩托车,2007,36(1):41-43. |
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| 作者姓名： | 孙建民 晋小莉 何博雄 徐冰晶 王立莹 |
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| 作者单位： | 1. 西安工业学院机电工程学院,陕西西安,710032
2. 长春理工大学机电工程学院 |
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| 摘 要： | 分析了BP算法。在MATLAB环境下以改进的BP网络为识别模型对内燃机活塞-缸套磨损的几种故障进行分类训练,并应用待识别的故障样本识别仿真。结果表明,该方法在活塞-缸套磨损诊断中是行之有效的。
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| 关 键 词： | 神经网络 BP算法 内燃机 活塞-缸套磨损 故障诊断 |
| 文章编号： | 1671-0630（2007）01-0041-03 |
| 修稿时间： | 2005-12-12 |
Fault Diagnosis of Internal Combustion Engine Piston-liner Wear Based on Neural Network Theory |
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| Sun Jianmin,Jin Xiaoli,He Boxiong,Xu Bingjing,Wang Liying.Fault Diagnosis of Internal Combustion Engine Piston-liner Wear Based on Neural Network Theory[J].Small Internal Combustion Engine and Motorcycle,2007,36(1):41-43. |
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| Authors: | Sun Jianmin Jin Xiaoli He Boxiong Xu Bingjing Wang Liying |
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| Abstract: | This paper analyzes Back Propagation training algorithm.Based on the improved Back Propagation neural network,some fault samples of internal combustion engine piston-liner wear condition trained in MATLAB environment,and also the neural network model were applied to identify the samples for identification.The result indicates that the method is effective in the fault diagnosis of piston-liner wear condition. |
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| Keywords: | Neural network Back Propagation training algorithm Internal combustion engine Piston-liner wear condition Fault diagnosis |
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