基于支持向量机的故障诊断 |
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引用本文: | 费娜.基于支持向量机的故障诊断[J].工业控制计算机,2010,23(12):45-46. |
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作者姓名: | 费娜 |
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作者单位: | 苏州工业职业技术学院,江苏苏州215104 |
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摘 要: | 将支持向量机应用于故障的分类诊断,通过实例建立了两类故障分类器和多故障分类器,给出了具体的建立多故障分类器的步骤和仿真结果。最后提出了一种新的方法——基于支持向量机的并行诊断网络。
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关 键 词: | 支持向量机 故障诊断 小波包分解 主成分分析 |
Fault Diagnosis Which Based on Support Vector Machine |
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Abstract: | In this paper,support vector machine is used to fault classified-diagnosis.Two samples of fault classifier and multi-fault classifier are given,and,introduces the steps and simulations of the multi-fault classifier.Lastly,an new approach is presented,the network of parallel diagnosis which based on support vector machine. |
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Keywords: | support vector machines fault diagnosis wavelet packet decomposition Principal Component Analysis(PCA) |
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