基于SVM的状态反馈故障诊断技术
State Feedback Fault Diagnosis Technology Based on SVM
DOI: 10.12677/DSC.2018.71002, PDF,   
作者: 房志铭, 姚 波：沈阳师范大学数学与系统科学学院，辽宁 沈阳；王福忠：沈阳工程学院基础教学部，辽宁 沈阳
关键词: 模板；极点估算方法；极点分类模型；SVM；故障诊断；状态反馈；Pole Estimation Method； Pole Classification Model； SVM； Fault Diagnosis； State Feedback
摘要: 本文利用SVM对系统极点进行分类，区分出状态反馈系统无故障和发生故障时分别产生的极点。并利用网格搜寻法寻找最优参数，对极点分类方法进行建模。为了实现对系统极点变化的实时监测，本文给出了一种通过系统状态估算系统极点的新方法。在给出故障诊断模型的基础上，同时对相应的故障设计可靠控制器。最后通过算例验证极点估算方法的正确性和故障诊断的准确性以及可靠控制器的有效性。
Abstract: In this paper, SVM is used to classify the poles of the system, and the poles generated by the state feedback system without faults and faults are distinguished. And the grid search method is used to find the optimal parameters, and the pole classification method is modeled. In order to realize the real-time monitoring of system pole change, a new method to estimate the system poles by system status is presented. On the basis of the fault diagnosis model, a reliable controller is designed for the corresponding faults. Finally, an example is given to verify the correctness of the pole estimation method, the accuracy of the fault diagnosis and the effectiveness of the reliable controller.
文章引用：房志铭, 王福忠, 姚波. 基于SVM的状态反馈故障诊断技术 [J]. 动力系统与控制, 2018, 7(1): 11-26. https://doi.org/10.12677/DSC.2018.71002

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