Intelligent techniques for incipient fault diagnosis of power transformer
Dissertant
University
University of Technology
Faculty
-
Department
Department of Electrical Engineering
University Country
Iraq
Degree
Ph.D.
Degree Date
2006
English Abstract
Recent years, oil -filled power transformer incipient faults diagnosis, is very important in power system fault analysis.
The fault diagnosis based on Dissolved Gas oil Analysis (DGA) is widely accepted as most reliable tools, for earliest detection of incipient faults in power transformer, in case that information used in oil filled power transformer fault diagnosis are not always accurate and incomplete, that make it difficult to construct and develop an accurate models.
This work is devoted to introduce an efficient and accurate system for early fault detection through using the Soft Computing Techniques (SCT) by developing Fuzzy logic and Neural implementation and Expert System Fuzzy Logic (ESFL) to modify traditional techniques .These techniques are tested with different conditions of oil samples taken from many company documentation of oil test centers, and the results are more accurate than obtained in the last techniques.
Different power transformer oil samples taken from Al-Name gas power station with different time intervals are analysed by Gas Chromatography (G.C) Laboratories in Al-Basrah petrochemical factory then tested by our techniques, the proposed techniques achieved an accuracy of 96.90 % with 63.36 % better than the traditional techniques.
The results can help for developing better power transformer maintenance strategies, and serve as the basis of on-line DGA transformer monitor.
Most conclusion verifies that the Hybrid Diagnosis using expert system and fuzzy logic is much better than traditional techniques.
Also the analysis makes an evaluation for Al-Name Gas station power transformer performance by using the new intelligent techniques.
Main Subjects
American Psychological Association (APA)
Jumeaa, Fadil Abbas. (2006). Intelligent techniques for incipient fault diagnosis of power transformer. (Doctoral dissertations Theses and Dissertations Master). University of Technology, Iraq
https://search.emarefa.net/detail/BIM-305921
Modern Language Association (MLA)
Jumeaa, Fadil Abbas. Intelligent techniques for incipient fault diagnosis of power transformer. (Doctoral dissertations Theses and Dissertations Master). University of Technology. (2006).
https://search.emarefa.net/detail/BIM-305921
American Medical Association (AMA)
Jumeaa, Fadil Abbas. (2006). Intelligent techniques for incipient fault diagnosis of power transformer. (Doctoral dissertations Theses and Dissertations Master). University of Technology, Iraq
https://search.emarefa.net/detail/BIM-305921
Language
English
Data Type
Arab Theses
Record ID
BIM-305921
