Title :
The application of fuzzy mathematics to transformer diagnosis expert system
Author :
Ning, Qi ; Quan, Yusheng ; Wang, Dejun ; Chen, Jun ; Gao, Wensheng
Author_Institution :
Key Lab. of High Voltage & EMC, North China Electr. Power Univ., Beijing, China
Abstract :
Qualitative diagnosis method is used to analyze test data in transformer fault diagnosis expert system basically. But this usually cause misjudge fault that near threshold. In this paper, fuzzy mathematics theory is used to process DGA data and electrical tests data. IEC three-ratio fuzzy codes are calculated and the fuzzy membership degrees of electrical tests data are determined. A comprehensive reasoning mechanism is built based on fuzzy mathematics. Finally, an example is given to prove the accuracy of diagnosis.
Keywords :
IEC standards; diagnostic expert systems; electronic engineering computing; fault diagnosis; fuzzy set theory; inference mechanisms; transformers; IEC three-ratio fuzzy codes; comprehensive reasoning mechanism; electrical tests data; fuzzy mathematics; fuzzy mathematics theory; fuzzy membership degrees; qualitative diagnosis method; transformer diagnosis expert system; Data analysis; Diagnostic expert systems; Dissolved gas analysis; Fault diagnosis; Fuzzy reasoning; Fuzzy systems; Hybrid intelligent systems; IEC; Mathematics; System testing; Comprehensive reasoning mechanism; IEC three-ratio fuzzy coding; fuzzy mathematics; fuzzy membership degree;
Conference_Titel :
Properties and Applications of Dielectric Materials, 2009. ICPADM 2009. IEEE 9th International Conference on the
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-4367-3
Electronic_ISBN :
978-1-4244-4368-0
DOI :
10.1109/ICPADM.2009.5252482
