| SVM在煤矿机电设备故障诊断中的应用 |
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| 引用本文： | 张永强,马宪民,张艳妮.SVM在煤矿机电设备故障诊断中的应用[J].煤炭技术,2014(9):251-253. |
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| 作者姓名： | 张永强 马宪民 张艳妮 |
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| 作者单位： | 西安科技大学电气与控制工程学院;神华宁煤集团矿山机械制造维修分公司 |
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| 基金项目： | 国家自然科学基金项目(51277149) |
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| 摘 要： | 针对煤矿大型机电设备故障诊断与维修过程中存在故障数据少、干扰大的非线性特征,提出了采用支持向量机进行故障诊断的方法。建立了系统故障诊断分类模型,采用拉格朗日函数得到了最优解。通过对刮板输送机传动部温度故障数据的参数估计与分类研究,结果表明支持向量机故障诊断效果较好。
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| 关 键 词： | SVM 故障分类 刮板输送机 传动部 |
Application of SVM in Fault Diagnosis for Coal Electromechanical Equipments |
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| ZHANG Yong-qiang;MA Xian-min;ZHANG Yan-ni.Application of SVM in Fault Diagnosis for Coal Electromechanical Equipments[J].Coal Technology,2014(9):251-253. |
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| Authors: | ZHANG Yong-qiang;MA Xian-min;ZHANG Yan-ni |
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| Affiliation: | ZHANG Yong-qiang;MA Xian-min;ZHANG Yan-ni;College of Electrical and Control Engineering,Xi’an University of Science and Technology;Machinery Manufacturing Maintenance Branch of Shenhua Ningxia Coal Group; |
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| Abstract: | An intelligent fault diagnosis method of support vector machine(SVM) is proposed for the problems such as a little fault data and much the non-linear characteristics disturbances in coal large type mine electromechanical equipment fault diagnosis and maintain process.The fault diagnosis classification model is constructed,and the best solution is obtained according to Lagrange theorem.Through the application of the SVM method to the drives speed reducer temperature fault diagnosis and classification of the scraper conveyor,the simulation results show that the proposed SVM method has a good diagnosis effect. |
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| Keywords: | SVM fault classification scraper conveyor drives |
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