Fault Diagnosis for Constant Deceleration Braking System of Mine Hoist based on Principal Component Analysis and SVM

摘要：

　　Based on AMESim simulation platform,the pressure-time curve of constant deceleration braking system is obtained in this paper firstly,by simulating three typical faults of brake,the spring stiffness decrease,the brake shoe friction coefficient decrease and brake leaking.Then pressure data on the curve for each time are seen as a variable and the curve is chosen as the fault sample,analysed by the method of Principal Component Analysis(PCA).Last,principal components or sum of variance contribution rates more than 95%are selected as sample eigenvalues and Support Vector Machine(SVM)is used for fault diagnosis.Diagnosis results show that all testing faults can be identified accurately,which indicates SVM model has an extremely excellent ability to identify faults.To further verify the performance of SVM for fault identification,BP neural network is established to compare.The result shows that SVM model is more accurate than BP neural network in fault recognition.

作者: Juan-Juan Li Liang Hu Guo-Ying Meng Guang-Ming Xie Ai-Ming Wang Shuai Wang Yi-Fan Jia

作者单位: School of Mechanical Electronic and Information Engineering,China University of Mining and Technolog College of Engineering,Peking University,Beijing 100871,China

会议类型: 国际会议

会议名称: 2017 International Conference on Electronic Information Technology and Computer Engineering (EITCE 2017)(2017电子信息技术与计算机工程国际会议)(EITCE2017)

会议地点: 珠海

会议语种:英文

页码: 1-5

在线出版日期: 2017-09-23（万方平台首次上网日期，不代表论文的发表时间）