| 基于支持向量机的电机故障预测研究 |
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| 引用本文： | 朱伟,李东辰,闫琪娇,庞敏敏. 基于支持向量机的电机故障预测研究[J]. 煤矿机械, 2011, 32(3): 253-254 |
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| 作者姓名： | 朱伟 李东辰 闫琪娇 庞敏敏 |
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| 作者单位： | 安徽理工大学,电气与信息工程学院,安徽,淮南,232001 |
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| 摘 要： | 对现在比较盛行的状态监测与故障检测和预测做了阐述性的介绍,并且就故障预测方法在现代工业生产的应用性方面做了定性分析,并将支持向量机的这种对小样本数据比较有效的训练和处理方法引入到电机的故障预测中来。
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| 关 键 词： | 故障预测 状态监测 支持向量机 |
Support Vector Machine Based Prediction of Fault |
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| ZHU Wei,LI Dong-chen,YAN Qi-jiao,PANG Min-min. Support Vector Machine Based Prediction of Fault[J]. Coal Mine Machinery, 2011, 32(3): 253-254 |
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| Authors: | ZHU Wei LI Dong-chen YAN Qi-jiao PANG Min-min |
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| Affiliation: | (Institute of Electrical and Information Engineering,Anhui University of Technology,Huainan 232001,China) |
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| Abstract: | Attempts to the prevalence of current condition monitoring and fault detection and prediction of the introduction are described in detail,then made a qualitative analysis to the failure prediction method in the application of modern industrial production,and support vector machine on a small sample training and data processing method is more effective and introduced to the motor to the fault prediction. |
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| Keywords: | failure prediction condition monitoring support vector machine |
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