| 基于支持向量机的齿轮箱齿轮故障诊断 |
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| 引用本文： | 占健,吴斌,王加祥.基于支持向量机的齿轮箱齿轮故障诊断[J].上海电机学院学报,2014(1):5-10. |
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| 作者姓名： | 占健 吴斌 王加祥 |
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| 作者单位： | [1]上海电机学院电气学院,上海200240 [2]上海电机学院商学院,上海200240 |
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| 基金项目： | 教育部人文社会科学研究青年基金项目资助（10Y3C630274）;上海电机学院重点学科资助（10XKJ01） |
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| 摘 要： | 通过对风机传动系统中齿轮故障进行模拟试验,构建结构风险最优的支持向量机（SVM）网络,对采集到的电磁速度信号进行快速傅里叶分解,选取高频段的频谱特性作为分量进行样本化学习,完成对齿轮故障样本的训练,使SVM具备分类功能.最后,采用SVM对齿轮箱试验台齿轮故障进行诊断分类识别,取得较好的效果,说明齿轮故障信号高频特性所包含故障信息在整个频谱中的有效性以及SVM作为一种故障诊断方法的实用性.
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| 关 键 词： | 齿轮 支持向量机 故障识别 故障诊断 |
Fault Diagnosis Gears in a Gearbox Based on Support Vector Machine |
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| ZHAN Jian,WU Bin,WANG Jiaxiang.Fault Diagnosis Gears in a Gearbox Based on Support Vector Machine[J].JOurnal of Shanghai Dianji University,2014(1):5-10. |
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| Authors: | ZHAN Jian WU Bin WANG Jiaxiang |
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| Affiliation: | (a. School of Electrical Engineering; b. School of Business, Shanghai Dianji University, Shanghai 200240, China) |
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| Abstract: | By simulating the fault of gears in a wind turbine transmission system, a support vector machine （SVM） neural network is built with optimal structural risk. FFT analysis of collected electromagnetic signals is carried out. The high frequency phase of the spectrum is selected as samples of fault training, and the SVM is trained with a function of classification by training the fault samples. SVM is used to diagnose and classify gear fault with good results, indicating effectiveness and practicability of using high frequency components in SVM as a fault diagnosis method. |
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| Keywords: | gear support vector machine （SVM） fault diagnosis fault classification |
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