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

Jing Tang, Yongheng Yang, Jie Chen, Ruichang Qiu and Zhigang Liu
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Jing Tang: School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China
Yongheng Yang: Department of Energy Technology, Aalborg University, 9220 Aalborg, Denmark
Jie Chen: School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China
Ruichang Qiu: School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China
Zhigang Liu: School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China

Energies, 2019, vol. 13, issue 1, 1-17

Abstract: 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.

Keywords: characteristics analysis; fault detection; stator fault; rotor fault; torque estimation; induction motor (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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