A novel technique for prediction of abnormal operation of electrical systems

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.