Fault Detection of Electric Motors Application using ML Estimation Method

摘要：

　　This paper proposes a new method of motor fault detection.ML Estimation is proposed as a key technique for signal processing.The stator current is used data for motor fault analysis.ML Estimation is generally applied to estimate signals for nonlinear model.The expectation is that the method can provide information for fault analysis.The method is tested on 3 different motor conditions:healthy,stator fault,and rotor fault motor at full load condition.Based on experiments,the method can differentiate conditions clearly and be also able to measure fault severity levels.

关键词： Signal Processing Fault Detection Induction Motors ML Estimation Maximization Likelihood Estimation

作者: Juggrapong Treetrong

作者单位: Department of Teacher Training in Mechanical Engineering,Technical Education Faculty King Mongkuts University of Technology North Bangkok,Thailand

会议类型: 国际会议

会议名称: the 2012 International Conference on Manufacturing Engineering and Automation (2012年制造工程与自动化国际会议(ICMEA2012))

会议地点: 广州

会议语种:英文

页码: 1958-1961

在线出版日期: 2012-11-16（万方平台首次上网日期，不代表论文的发表时间）