DocumentCode
1600166
Title
Rotor fault detection system for inverter driven induction motor using currents signal
Author
Kim, N.H. ; Kim, M.H. ; Toliyat, Hamid A. ; Lee, S.H. ; Choi, C.H. ; Baik, W.S.
Author_Institution
Sch. of Elec. & Info., Cheungju Univ., Cheongju
fYear
2007
Firstpage
724
Lastpage
728
Abstract
In this paper, the induction motor rotor fault diagnosis system using current signals which are measured using axis-transformation method is presented. In inverter-fed motor drives unlike line-driven motor drives the stator currents are rich in harmonics and therefore fault diagnosis using stator current is not trivial. The current signals for rotor fault diagnosis need precise and high resolution information, which means the diagnosis system demands additional hardware such as low pass filter, high resolution ADC, encoder and etc. Therefore, the proposed axis-transformation method is expected to contribute to low cost fault diagnosis system in inverter-fed motor drives without the need for encoder and any additional hardware. In order to confirm validity of the developed algorithms, various experiments for rotor faults are tested and the line current spectrum of each faulty situation using Park transformation is compared with the results obtained from fast Fourier transforms.
Keywords
analogue-digital conversion; fast Fourier transforms; fault diagnosis; induction motor drives; low-pass filters; power filters; stators; Park transformation; axis-transformation; currents signal; fast Fourier transforms; fault diagnosis; high resolution ADC; inverter driven induction motor; inverter-fed motor drives; low pass filter; rotor fault detection; stator currents; Current measurement; Fault detection; Fault diagnosis; Hardware; Induction motors; Inverters; Motor drives; Rotors; Signal resolution; Stators;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Electronics, 2007. ICPE '07. 7th Internatonal Conference on
Conference_Location
Daegu
Print_ISBN
978-1-4244-1871-8
Electronic_ISBN
978-1-4244-1872-5
Type
conf
DOI
10.1109/ICPE.2007.4692483
Filename
4692483
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