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 language | English |
|---|---|
| Title of host publication | 2010 World Automation Congress, WAC 2010 |
| Publication status | Published - 2010 |
| Event | 2010 World Automation Congress, WAC 2010 - Kobe Duration: 2010 Sep 19 → 2010 Sep 23 |
Other
| Other | 2010 World Automation Congress, WAC 2010 |
|---|---|
| City | Kobe |
| Period | 10/9/19 → 10/9/23 |
Keywords
- Failure diagnosis
- Power system
- Rough set model
- Statistical test
ASJC Scopus subject areas
- Control and Systems Engineering
Fingerprint Dive into the research topics of 'Fuzzy random based rough sets analysis and its application'. Together they form a unique fingerprint.
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]