지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한전기학회 Journal of Electrical Engineering & Technology Journal of Electrical Engineering & Technology Vol.13 No.4
- 발행연도
- 2018.7
- 수록면
- 1,614 - 1,622 (9page)
이용수
초록· 키워드
오류제보하기
The research related to fault diagnosis in permanent magnet synchronous motors (PMSMs) has attracted considerable attention in recent years because various faults such as permanent magnet demagnetization and short-circuited turns can occur and result in unexpected failure of motor related system. Several conventional current and back electromotive force (BEMF) analysis techniques were proposed to detect certain faults in PMSMs; however, they generally deal with a single fault only. On the contrary, cases of multiple faults are common in PMSMs. We propose a fault diagnosis method for PMSMs with single and multiple combined faults. Our method uses three phase BEMF voltages based on the fast Fourier transform (FFT), support vector machine(SVM), and visualization tools for identifying fault types and severities in PMSMs. Principal component analysis (PCA) and t-distributed stochastic neighbor embedding (t-SNE) are used to visualize the high-dimensional data into twodimensional space. Experimental results show good visualization performance and high classification accuracy to identify fault types and severities for single and multiple faults in PMSMs.
목차
Abstract
1. Introduction
2. Experimental Set-Up and Faults in PMSMs
3. Proposed Fault Detection and Classification
4. Experimental Results
5. Conclusion
References
참고문헌 (24)
참고문헌 신청
Jongman Hong, Sanguk Park, Doosoo Hyun, Taejung Kang, Sang Bin Lee, Christian Kral, and Anton Haumer, “Detection and Classification of Rotor Demagnetization and Eccentricity Faults for PM Synchronous Motors,” IEEE Trans. Ind. Appl., vol. 48, no. 3, pp. 923-932, May/June. 2012.
Bilal Akin, Salih Baris Ozturk, Hamid A. Toliyat, and Mark Rayner, “DSP-Based Sensorless Electric Motor Fault Diagnosis Tools for Electric and Hybrid Electric Vehicle Powertrain Applications,” IEEE Trans. Veh. Technol., vol. 58, no. 5, pp. 2150-2159, June. 2009.
Hamid A. Toliyat, Subhasis Nandi, Seungdeong Choi, and Homayoun Meshgin-Kelk, Electric machines: modeling, condition monitoring, and fault diagnosis. CRC Press, 2012.
Ki-Chan Kim, Seung-Bin Lim, Dae-Hyun Koo, and Ju Lee, “The Shape Design of Permanent Magnet for Permanent Magnet Synchronous Motor Considering Partial Demagnetization,” IEEE Trans. Magn., vol. 42, no. 10. pp. 3485-3487, Oct. 2006.
Satish Rajagopalan, Wiehan le Roux, Thomas G. Habetler, and Ronald G. Harley, “Dynamic eccentricity and demagnetized rotor magnet detection in trapezoidal flux (brushless DC) motors operating under different load conditions,” IEEE Trans. Power Elect., vol. 22, no. 5, pp. 2061-2069, Sep. 2007.
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UCI(KEPA) : I410-ECN-0101-2018-560-002230691