Letter to the Editor: A Novel Technique for Prediction of Abnormal Operation of Electrical Systems

Authors: Ibrahim, W. R. Anis¹; Morcos, M. M.²

Source: Electric Power Components and Systems, Volume 35, Number 7, July 2007 , pp. 851-856(6)

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Abstract:

This research introduces an intelligent adaptive fuzzy system with a self learning function, that could be installed to monitor electrical equipment or systems and self-learn the trend of events leading to the failure of the monitored system. The self-learning process is accomplished using adaptive neuro-fuzzy techniques. The article includes details of the development of the new tool and the results of applying the technique to a test case based on a practical application and real site data. Wavelet de-noising is used as the filtering technique for pre-preparation of data before introducing it to the fuzzy predictor.

Keywords: fuzzy logic; power quality; adaptive neuro-fuzzy systems; fault prediction; self-learning systems

Document Type: Research article

DOI: http://dx.doi.org/10.1080/15325000600817783

Affiliations: 1: University of Zagazig, Zagazig, Sharkia, Egypt 2: Kansas State University, Manhattan, Kansas, USA

Publication date: 2007-07-01

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