Detection of Eccentricity Faults in Induction Machines Based on Nameplate Parameters

被引:114
作者
Nandi, Subhasis [1 ]
Ilamparithi, Thirumarai Chelvan [1 ]
Lee, Sang Bin [2 ]
Hyun, Doosoo [2 ]
机构
[1] Univ Victoria, Dept Elect & Comp Engn, Victoria, BC V8W 3P6, Canada
[2] Korea Univ, Sch Elect Engn, Seoul 136713, South Korea
基金
加拿大创新基金会; 加拿大自然科学与工程研究理事会;
关键词
Dynamic and mixed eccentricity faults; fault diagnosis; induction-motor protection; Modified Winding Function Approach; motor current signature analysis (MCSA); power spectral density; Short-Time Fourier Transform (STFT); spectral analysis; static; Switch-off Voltage Transient Analysis; unbalanced magnetic pull (UMP); AIRGAP-ECCENTRICITY; PERFORMANCE ANALYSIS; MOTORS; DIAGNOSIS;
D O I
10.1109/TIE.2010.2055772
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Eccentricity-related faults in induction motors have been studied extensively over the last few decades. They can exist in the form of static or dynamic eccentricity or both, in which case it is called a mixed eccentricity fault. These faults cause bearing damage, excessive vibration and noise, unbalanced magnetic pull, and under extreme conditions, stator-rotor rub which may seriously damage the motors. Since eccentricity faults are often associated with large induction machines, the repair or replacement costs arising out of such a scenario may easily run into tens and thousands of dollars. Previous research works have shown that it is extremely difficult to detect such faults if they appear individually, rather than in mixed form, unless the number of rotor bars and the pole-pair number conform to certain relationships. In this paper, it is shown that the terminal voltages of induction machines at switch-off reveal certain features that can lead to the detection of these faults in individual form, even in machines that do not show these signatures in line-current spectrum in steady state, or to the detection of the main contributory factor in case of mixed eccentricity.
引用
收藏
页码:1673 / 1683
页数:11
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