| 基于BP网络的电力机车充电机故障诊断研究 |
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| 引用本文： | 申平军,杨文焕. 基于BP网络的电力机车充电机故障诊断研究[J]. 黑龙江电子技术, 2014, 0(11): 183-188 |
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| 作者姓名： | 申平军 杨文焕 |
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| 作者单位： | 上海理工大学光电信息与计算机工程学院,上海200093 |
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| 摘 要： | 充电机作为电力机车的一个重要装置,直接影响电力机车的安全运行.文章以BP神经网络故障诊断理论为基础,提出了以充电机输入和输出以及晶闸管触发信号为神经网络输入的特征参数,建立了充电机的23种故障模式和特征量之间非线性关系.仿真及实验结果表明了该诊断模型和算法的可行性以及有效性,同时特征参数的有效提取提高了诊断的精确性.
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| 关 键 词： | 故障诊断 故障模式 特征参数 神经网络 |
Based on BP network electric locomotive charging machine fault diagnosis research |
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| SHEN Ping-jun,YANG Wen-huan. Based on BP network electric locomotive charging machine fault diagnosis research[J]. , 2014, 0(11): 183-188 |
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| Authors: | SHEN Ping-jun YANG Wen-huan |
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| Affiliation: | ( School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology ,Shanghai 200093, China) |
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| Abstract: | As an important device of electric locomotives, charging of the operation of electric locomotives. This paper is based on the generator directly affects the security fauk diagnosis of BP neural network, presenting the characteristic parameters of the charger input and output, as well as the thyristor trigger signal, establishing the non-linear relationship between 23 kinds of failure modes and characteristic quantity. The result of simulation and experiment shows the feasibility and effectiveness of this diagnosis, at the same time, the characteristic parameters improve the accuracy of the diagnosis effectively. |
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| Keywords: | fault diagnosis failure mode characteristic parameter neural network |
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