대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)
- 대한전기학회 2005년도 심포지엄 논문집 정보 및 제어부문
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- Pages.243-245
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- 2005
진동 신호 분석을 통한 전동 모터 상태 검출
Condition Monitoring of Induction Motor with Vibration Signal Analysis
- 발행 : 2005.05.14
초록
Condition monitoring is desirable for increasing machinery availability, reducing consequential damage, and improving operational efficiency. In this paper, a model-based method using neural network modeling of induction noter in vibration spectra is proposed for machine fault detection and diagnosis. The short-time Fourier transform (STFT) is used to process the quasi-steady vibration signals to continuous spectra so that the neural network model can be trained with vibration spectra. And the faults are detected from changes in the expectation of vibration spectra modeling error. The effectiveness of the proposed method is demonstrated through experimental results.