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

fYear

2010

Firstpage

1

Lastpage

9

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;

fLanguage

English

Publisher

ieee

Conference_Titel

World Automation Congress (WAC), 2010

Conference_Location

Kobe

ISSN

2154-4824

Print_ISBN

978-1-4244-9673-0

Electronic_ISBN

2154-4824

Type

conf

Filename

5665448