Fuzzy random based rough sets analysis and its application

Lee Chuan Lin, Yoshiyuki Matsumot, Junzo Watada

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    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.

    Original languageEnglish
    Title of host publication2010 World Automation Congress, WAC 2010
    Publication statusPublished - 2010
    Event2010 World Automation Congress, WAC 2010 - Kobe
    Duration: 2010 Sep 192010 Sep 23

    Other

    Other2010 World Automation Congress, WAC 2010
    CityKobe
    Period10/9/1910/9/23

    Keywords

    • Failure diagnosis
    • Power system
    • Rough set model
    • Statistical test

    ASJC Scopus subject areas

    • Control and Systems Engineering

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  • Cite this

    Lin, L. C., Matsumot, Y., & Watada, J. (2010). Fuzzy random based rough sets analysis and its application. In 2010 World Automation Congress, WAC 2010 [5665448]