Studies On On-line Monitoring Information Management And Fault Diagnosis System Of High Voltage Electrical Equipment

The paper firstly discusses the importance, present condition and development tendency of on-line monitoring information management and fault diagnosis system (IMFDS) of electrical apparatus. The new specialities and advantages of IMFDS are also introduced in this paper.By reason that on-line monitoring data of electrical equipment are affected by many factors such as reference voltage of PT, outside environment, running mode, voltage fluctuation and random factors, they will be dispersive and fluctuant. What is more, distortion is possible for data while they are transmitted. As a result of above-mentioned adverse factors, it is necessary for data to be processed by means of 53H algorithm in order to warrant them reliable and accurate. In on-line diagnosis, time series analytic approach is used to take delivery of fault symptoms. Data sampled in normal state are put to use to create a corresponding ARMA model which not only studies the statistical characterization of data, but also studies the dynamic property of system which produce these data., thus data, model and system are connected to analyze fault.It is indispensable to diagnose the faults of electrical apparatus by making use of fuzzy expert system just because the strength or weakness of equipment characterization and the fault level are all fuzzy concept. Traditional logistic diagnosis is hard to express fuzzy concept, however, fuzzy expert system can solve this problem and improves the accuracy of diagnosis by much..