Title :
Fuzzy Clustering Analysis Based on Dissolved Gas in Power Transformer
Author_Institution :
Henan Pingdingshan Power Supply Co., Pingdingshan
Abstract :
Dissolved gas analysis (DGA) is one of the most useful techniques to detect the incipient faults of power transformer. However, the identification of the faulted location by the traditional method is not always an easy task due to absolute ratio and some of the gas ratio code (e.g. 011) outside normal operating condition by the IEC method. In this paper, a fuzzy set analysis theory and method were described and applied to the diagnosis of power transformer. The practical examples were cited.
Keywords :
fault location; fuzzy set theory; power transformers; DGA; IEC method; dissolved gas analysis; fault detection; fuzzy clustering analysis; fuzzy set analysis theory; power transformer; Clustering algorithms; Dissolved gas analysis; Electrical fault detection; Fault detection; Fault diagnosis; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Power supplies; Power transformers;
Conference_Titel :
Power and Energy Engineering Conference, 2009. APPEEC 2009. Asia-Pacific
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-2486-3
Electronic_ISBN :
978-1-4244-2487-0
DOI :
10.1109/APPEEC.2009.4918393
