Affiliations: [a] School of Computer and Information Technology, Shanxi University, Taiyuan, China
| [b] Key Laboratory of Computational Intelligence and Chinese Information Processing of Ministry of Education, Taiyuan, China
| [c] College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China
Abstract: Steam turbine fault diagnosis is a significant issue in fault diagnosis technology, which has made remarkable progress in the area of electromechanical engineering. Although many studies based on fuzzy approaches are developed on this topic, they can only cope with incomplete and uncertain information, but have limitations in processing indeterminate and inconsistent information in practical decision-making procedures. In addition, it is beneficial to solve problems under group decision-making background that aims to aggregate each expert’s preference to reach a final conclusion by consensus and unanimity. To deal with these difficulties in steam turbine fault diagnosis, by combining multigranulation rough sets over two universes with single-valued neutrosophic sets theories, a single-valued neutrosophic multigranulation rough set over two universes is investigated in this paper. Then, we construct a general decision-making rule through using single-valued neutrosophic multigranulation rough sets over two universes within the background of steam turbine fault diagnosis. Finally, the validity of the decision-making method is verified by an illustrative case.
Keywords: Steam turbine fault diagnosis, single-valued neutrosophic sets, multigranulation rough sets over two universes, group decision-making
