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http://dx.doi.org/10.5302/J.ICROS.2002.8.10.851

Fault Detection and Diagnosis of an Agitator Using the Wavelet Transform  

서동욱 (삼성전자 통신연구소)
전도영 (서강대학교 기계공학과)
Publication Information
Journal of Institute of Control, Robotics and Systems / v.8, no.10, 2002 , pp. 851-855 More about this Journal
Abstract
This paper proposes a method of fault detection and diagnosis of agitators based on the wavelet analysis of the current and vibration signals. The wavelet transform has received considerable interest in the fields of acoustics, communication, image compression, vision. and seismic since it provides the fast and effective means of analyzing signals recorded during operation. Neural network is used to diagnose the fault. Specifically, the proposed approach consists of (i) fault detection, (ii) feature extraction, and (iii) classification of fault types. The results show an effective application of the wavelet analysis on the monitoring of an agitator.
Keywords
atator; wavelet transform; neural networks; fault defection and diagnosis;
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