Characteristics Analysis and Measurement of Inverter-Fed Induction Motors for Stator and Rotor Fault Detection

被引:15
|
作者
Tang, Jing [1 ]
Yang, Yongheng [2 ]
Chen, Jie [1 ]
Qiu, Ruichang [1 ]
Liu, Zhigang [1 ,3 ]
机构
[1] Beijing Jiaotong Univ, Sch Elect Engn, Beijing 100044, Peoples R China
[2] Aalborg Univ, Dept Energy Technol, DK-9220 Aalborg, Denmark
[3] Beijing Engn Res Ctr Elect Rail Transit, Beijing 100044, Peoples R China
关键词
characteristics analysis; fault detection; stator fault; rotor fault; torque estimation; induction motor; BAR FAULT; DIAGNOSIS; MACHINES;
D O I
10.3390/en13010101
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Inverter-fed induction motors (IMs) contain a serious of current harmonics, which become severer under stator and rotor faults. The resultant fault components in the currents affect the monitoring of the motor status. With this background, the fault components in the electromagnetic torque under stator faults considering harmonics are derived in this paper, and the fault components in current harmonics under rotor faults are analyzed. More importantly, the monitoring based on the fault characteristics (both in the torque and current) is proposed to provide reliable stator and rotor fault diagnosis. Specifically, the fault components induced by stator faults in the electromagnetic torque are discussed in this paper, and then, fault components are characterized in the torque spectrum to identify stator faults. To achieve so, a full-order flux observer is adopted to calculate the torque. On the other hand, under rotor faults, the sidebands caused by time and space harmonics in the current are analyzed and exploited to recognize rotor faults, being the motor current signature analysis (MCSA). Experimental tests are performed on an inverter-fed 2.2 kW/380 V/50 Hz IM, which verifies the analysis and the effectiveness of the proposed fault diagnosis methods of inverter-fed IMs.
引用
收藏
页数:17
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