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
- 발행연도
- 2011.3
- 수록면
- 163 - 172 (10page)
이용수
초록· 키워드
오류제보하기
Oxidation models of a rotor bar and end ring segment in an induction motor are presented to simulate the behavior of an induction machine working with oxidized rotor parts which are modeled as rotor faults in progress. The leakage inductance and resistance of the rotor parts are different from normal values because of the oxidation process. The impedance variations modify the current density and magnetic flux which pass through the oxidized parts. Consequently, it causes the rotor asymmetry which induces abnormal harmonics in the stator current spectra of the faulty machine. The leakage inductances of the oxidation models are derived by the Ampere’s law. Using the proposed oxidation models, the rotor bar and end ring faults in progress can be modeled and simulated with the motor current signature analysis (MCSA). In addition, the oxidation process of the rotor bar and end ring segment can motivate the rotor asymmetry, which is induced by electromagnetic imbalances, and it is one of the major motor faults. Results of simulations and experiments are compared to each other to verify the accuracy of the proposed models. Experiments are achieved using 3.7 ㎾, 3-phase, and squirrel cage induction motors with a motor drive inverter.
목차
Abstract
Ⅰ. INTRODUCTION
Ⅱ. DYNAMIC MODEL OF AN INDUCTION MOTOR
Ⅲ. OXIDATION MODELS OF ROTOR BAR AND END RING SEGMENT
Ⅳ. RESULTS OF SIMULATION AND EXPERIMENT
Ⅴ. CONCLUSION
REFERENCES
참고문헌 (36)
참고문헌 신청
M. E. H. Benbouzid / 2000 / A review of induction motors signature analysis as a medium for faults detection / IEEE Trans. Ind. Eletron 47(5):984~993
M. A. Awadallah / 2003 / Application of AI tools in fault diagnosis of electrical machines and drives-an overview / IEEE Trans. Energy Conv 18(2):243~251
이상빈 / 200707 / A survey of methods for detection of stator-related faults in induction machines / IEEE TRANS IND APPL 43(4):920~933
Alireza Sadoughi / 2008 / Intelligent Diagnosis of Broken Bars in Induction Motors Based on New Features in Vibration Spectrum / 전력전자학회 영문논문지 8(3):228~238
C. Kral / 2008 / Robust rotor fault detection by means of the vienna monitoring method and a parameter tracking technique / IEEE Trans. Ind. Electron 55(12):4229~4237
M. A. Awadallah / 2003 / Application of AI tools in fault diagnosis of electrical machines and drives-an overview / IEEE Trans. Energy Conv 18(2):243~251
이상빈 / 200707 / A survey of methods for detection of stator-related faults in induction machines / IEEE TRANS IND APPL 43(4):920~933
Alireza Sadoughi / 2008 / Intelligent Diagnosis of Broken Bars in Induction Motors Based on New Features in Vibration Spectrum / 전력전자학회 영문논문지 8(3):228~238
C. Kral / 2008 / Robust rotor fault detection by means of the vienna monitoring method and a parameter tracking technique / IEEE Trans. Ind. Electron 55(12):4229~4237
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UCI(KEPA) : I410-ECN-0101-2012-560-004202473