Title :
Fuzzy random based rough sets analysis and its application
Author :
Lin, Lee-Chuan ; Matsumot, Yoshiyuki ; Watada, Junzo
Author_Institution :
Grad. Sch. of Inf., Waseda Univ., Kitakyushu, Japan
Abstract :
Power systems play a pivotal role in modern industry. Their failures can therefore result in serious social and economical damages. It is important for power systems to be highly reliable. This paper presents a new type of failure diagnosis system based on restructuring rough sets. The evaluation data of power transformer systems for their failure conditions are obtained from experts´ judgments with uncertainty. In particular, the rough set model can be applicable in situations where little knowledge and human experience are available for power system failure diagnosis.
Keywords :
failure analysis; fuzzy set theory; power system economics; power system reliability; power transformers; rough set theory; economical damage; failure diagnosis; fuzzy random analysis; power system reliability; power systems; power transformer; rough sets analysis; social damage; Approximation methods; Artificial neural networks; Data models; Power transformers; Set theory; Transformer cores; Power system; failure diagnosis; rough set model; statistical test;
Conference_Titel :
World Automation Congress (WAC), 2010
Conference_Location :
Kobe
Print_ISBN :
978-1-4244-9673-0
Electronic_ISBN :
2154-4824
