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基于支持向量机的旋转整流桥故障诊断
引用本文:程延伟,谢永成,李光升. 基于支持向量机的旋转整流桥故障诊断[J]. 计算机测量与控制, 2011, 19(3)
作者姓名:程延伟  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
摘    要:针对车辆同步发电机中旋转整流桥发生故障时电源系统处于"带病"工作状态,直接检测相对困难的问题,通过MATLAB/Simulink建立同步发电机中旋转整流桥的仿真模型,分析各种故障状态下对定子绕组电流波形的影响,将定子绕组产生的谐波次数及幅值作为特征向量,采用支持向量机进行模式分类,通过组合网格法选择各模式分类的参数,构成"一对多"的多分类支持向量机.通过与BP神经网络的分类对比,结果表明支持向量机用少量样本就能获得较好的诊断效果.

关 键 词:旋转整流桥  故障诊断  支持向量机

Fault Diagnosis of Rotating Rectifier Bridge Based on SVM
Cheng Yanwei,Xie Yongcheng,Li Guangsheng. Fault Diagnosis of Rotating Rectifier Bridge Based on SVM[J]. Computer Measurement & Control, 2011, 19(3)
Authors:Cheng Yanwei  Xie Yongcheng  Li Guangsheng
Affiliation:Cheng Yanwei1,2,Xie Yongcheng1,Li Guangsheng1(1.Academy of armored force engineering,Beijing 100072,China,2.Academy of Armored Force technique,Changchun 130117,China)
Abstract:When the rotating rectifier bridge of the vehicles synchronous generator has the fault,the power system is unhealthy,the direct test is difficult comparatively.In the paper,rotating rectifier bridge model of synchronous generator is established by MATLAB/Simulink,analyzing winding current waveform at the various fault conditions,using the harmonic frequency and amplitude of stator windings as the feature vectors,using support vector machines for pattern classification,selecting pattern classification parame...
Keywords:rotating rectifier bridge  fault diagnosis  support vector machine  
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