Steam turbine fault diagnosis based on single-valued neutrosophic multigranulation rough sets over two universes

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.