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基于PCA的SVM提升机故障诊断方法研究 被引量:1

Application and Research on Method of Support Vector Machine Mine Hoist Fault Diagnosis Based on Principal Component Analysis
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摘要 如何提高可靠性与安全性一直是提升机诊断系统最关注的问题,从处理诊断的数据模型出发,提出了基于PCA的SVM提升机故障诊断方法,探讨了SVM方法,并结合实际验证方法的可行性。 The issues how to improve the diagnostic systems of mine hoists'reliability and security have been most concerned ,dealing with the diagnosis of the starting data model is proposed based on PCA-SVM to enhance machine fault diagnosis method discussed SVM method, combined with the actual authentication method feasibility.
作者 杨宝平
出处 《煤矿机械》 北大核心 2010年第9期246-249,共4页 Coal Mine Machinery
关键词 PCA SVM 故障诊断 提升机 PCA SVM fault diagnosis mine hoister
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  • 1Chiang L H,Kotanchek M E,Kordon A K.Fault governing its choice that guarantee satisfactory diagnosis based on fisher discriminated analysis and performance.We performed training and testing with support vector machines.Computers and Chemical Engineering,2004(28):1 389-1 401.
  • 2Samanta B,Al-Balushi K R,Al-Araimi S A.Artificial Table 3,where d is the degree of the polynomial and neural networks and support vector machines with is the width of the RBF kernel parameter.The genetic algorithm for bearing fault detection.performance of classification training and testing Engineering Applications of Artificial Intelligence,2003 (16):657-665.

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