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A Method for Offline Inter-Turn Fault Diagnosis of Interior Permanent Magnet Synchronous Motor through the Co-Analysis
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연동해석을 통한 영구자석 동기전동기의 오프라인 Inter-Turn 고장진단법

논문 기본 정보

Type
Academic journal
Author
Sooyoung Cho (한양대학교) Ye Jun Oh (한양대) GangSeok Lee (한양대학교) Jae-Nam Bae (동양미래대학교) Ju Lee (한양대학교)
Journal
The Korean Institute of Electrical Engineers The transactions of The Korean Institute of Electrical Engineers Vol.67 No.3 KCI Accredited Journals SCOPUS
Published
2018.3
Pages
365 - 373 (9page)

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A Method for Offline Inter-Turn Fault Diagnosis of Interior Permanent Magnet Synchronous Motor through the Co-Analysis
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Research history (2)

2018

Study on Inter-turn fault diagnosis method of the interior permanent magnet synchronous motor
Sooyoung Cho ,  Soohwang Chae ,  Huai-Cong Liu and others 2 대한전기학회 학술대회 논문집 2018.07 Proceeding
A Method for Offline Inter-Turn Fault Diagnosis of Interior Permanent Magnet Synchronous Motor through the Co-Analysis
Sooyoung Cho ,  Ye Jun Oh ,  GangSeok Lee and others 2 The transactions of The Korean Institute of Electrical Engineers 2018.03 Academic journal
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Abstract· Keywords

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In this paper, inter-turn fault diagnosis of the interior permanent magnet synchronous motor (IPMSM) is performed in offline state by linking the finite element analysis (FEA) tool and control simulation tool. In order to diagnose the inter-turn fault, it is important to select the current value to determine the fault. First, the basic principles for inter-turn fault diagnosis of IPMSM are explained and co-analysis model for fault diagnosis is constructed. Further, in order to select the appropriate high frequency voltage, the change of the current value to be judged as failure was analyzed at various voltage and frequency conditions, and the change of the current value according to the number of the failed windings was analyzed. Finally, the current value to be judged as failure is selected.
#Interior permanent magnet synchronous motor(IPMSM) #Fault diagnosis #Inter-turn fault #Co-analysis #Fault resistance

Contents

Abstract
1. 서론
2. Inter-turn 고장진단을 위한 이론
3. 연동해석을 통한 고장진단 시스템 구조
4. 연동해석을 이용한 고장진단
5. 결론
References

References (9)

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B. Akin, S. Choi, U. Orguner, and H. A. Toliyat, “A simple real-time fault signature monitoring tool for motor-drive-embedded fault diagnosis systems,” IEEE Trans. Ind. Electron., vol. 58, no. 5, pp. 1990-2001, May 2011. S. M. A. Cruz, H. A. Toliyat, and A. J.M. Cardoso, “DSP implementation of the multiple reference frames theory for the diagnosis of stator faults in a DTC induction motor drive,” IEEE Trans. Energy Convers., vol. 20, no. 2, pp. 329-335, Jun. 2005. B. Akin, S. B. Ozturk, H. A. Toliyat, and M. Rayner, “DSP-based sensorless electric motor fault diagnosis tools for electric and hybrid electric vehicle powertrain applications,” IEEE Trans. Veh. Technol., vol. 58, no. 6, pp. 2679-2688, Jul. 2009. L. Romeral, J. C. Urresty, J. R. Riba Ruiz, and A. Garcia Espinosa, “Modeling of surface-mounted permanent magnet synchronous motors with stator winding interturn faults,” IEEE Trans. Ind. Electron., vol. 58, no. 5, pp. 1576-1585, May 2011. J. C. Urresty, J. R. Riba, and L. Romeral, “Diagnosis of interturn faults in PMSMs operating under nonstationary conditions by applying order tracking filtering,” IEEE Trans. Power Electron., vol. 28, no. 1, pp. 507-515, Jan. 2013.

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UCI(KEPA) : I410-ECN-0101-2018-560-001815590