Skip to main content
U.S. Department of Energy
Office of Scientific and Technical Information

An Integrated Method of ANFIS and Dempster-Shafer Theory for Fault Diagnosis of Power Transformer

Journal Article · · IEEE Transactions on Dielectrics and Electrical Insulation
Dissolved gas analysis (DGA) approach is extensively applied to detect incipient faults of power transformers. This paper presents a novel DGA method for power transformer incipient fault diagnosis based on integrated adaptive neuro fuzzy inference system (ANFIS) and Dempster-Shafer Theory (DST). Four out of seven common conventional methods which are studied and compared for better consistency and accuracy, are used to develop new ANFIS based fault diagnosis models. To promote fault diagnostic performance further and make fault decision process more reliable and reasonable, an improved DST is introduced to integrate outputs of each ANFIS based model, and to provide comprehensive and convincing fault diagnosis results. The fault diagnosis capability of the proposed method is validated by a reported fault dataset and 10-fold cross validation experiment. The performance of the proposed method is compared with conventional approaches and ANFIS based models which demonstrate that the proposed method is superior to other methods and is more effective and stable for power transformer fault diagnosis with high accuracy and consistency.
Research Organization:
Argonne National Laboratory (ANL)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
DOE Contract Number:
AC02-06CH11357
OSTI ID:
1489758
Journal Information:
IEEE Transactions on Dielectrics and Electrical Insulation, Journal Name: IEEE Transactions on Dielectrics and Electrical Insulation Journal Issue: 1 Vol. 25; ISSN 1070-9878
Publisher:
IEEE
Country of Publication:
United States
Language:
English

Similar Records

Developing a new transformer fault diagnosis system through evolutionary fuzzy logic
Journal Article · Mon Mar 31 23:00:00 EST 1997 · IEEE Transactions on Power Delivery · OSTI ID:492195

Combination of Evidence in Dempster-Shafer Theory
Technical Report · Sun Mar 31 23:00:00 EST 2002 · OSTI ID:800792

Hybrid feature selection approach for power transformer fault diagnosis based on support vector machine and genetic algorithm
Journal Article · Mon Nov 26 23:00:00 EST 2018 · IET Generation, Transmission, & Distribution · OSTI ID:1577086