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装甲车辆电源系统智能故障诊断方法研究
引用本文:程延伟,吕强,谢永成,李光升. 装甲车辆电源系统智能故障诊断方法研究[J]. 计算机测量与控制, 2011, 19(6)
作者姓名:程延伟  吕强  谢永成  李光升
作者单位:1. 装甲兵工程学院,北京,100072;装甲兵技术学院,吉林长春,130117
2. 装甲兵工程学院,北京,100072
基金项目:总装通保部科研项目(2007SC02)
摘    要:针对电源系统建模复杂的问题,通过Matlab/simulink建立装甲车辆电源系统仿真模型,应用小波包能量法提取电源系统在各种状态下电压及电流信号的能量特征向量,并将其作为故障分类器的输入向量;结合SOM神经网络无监督聚类和BP网络有监督学习的能力,构建两层的故障分类器对各种故障状态进行识别和诊断;以车辆电源系统中整流桥故障为例进行仿真分析,结果表明该方法具有快速准确的故障诊断能力。

关 键 词:电源系统  故障诊断  小波包分析  神经网络  

Researsh on Intelligent Fault Diagnosis Method of Armored Vehicles Power System
Cheng Yanwei,Lv Qiang,Xie Yongcheng,Li Guangsheng. Researsh on Intelligent Fault Diagnosis Method of Armored Vehicles Power System[J]. Computer Measurement & Control, 2011, 19(6)
Authors:Cheng Yanwei  Lv Qiang  Xie Yongcheng  Li Guangsheng
Affiliation:Cheng Yanwei1,2,Lv Qiang1,Xie Yongcheng1,Li Guangsheng1(1.Academy of armored force engineering,Beijing 100072,China,2.Academy of Armored Force technique,Changchun 130117,China)
Abstract:Aiming at the problem of armored vehicles power system model setting,the simulate model is built in Matlab/simulink.These signal vectors of various states about voltage and current of power system,which are extracted by using the wavelet packet energy method,are integrated as the input vectors of the failure classifier,setting the failure classifier that has the ability of SOM with unsupervised clustering and BP with supervised study to identify and diagnose the various failure states.The simulate experimen...
Keywords:power system  fault diagnosis  wavelet packet analysis  neural network  
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