The application of rough set theory in the fault diagnosis rule acquisition

TLDR: A method of fault diagnosis rule acquisition using Rough Set theory can solve the problem of rule acquisition under condition of imprecise and inconsistent information on account of kind overlapping.

Abstract: The purpose of this paper is to present a method of fault diagnosis rule acquisition using Rough Set theory. This method can solve the problem of rule acquisition under condition of imprecise and inconsistent information on account of kind overlapping. Knowledge representation in the form of rules closes to man brain reasoning procedure, so diagnosis method based on rules has a wide application in fault diagnosis, but rule acquisition is one of the bottlenecks. Rough Set (RS) theory has been present for developing automation rule generation system, its main idea is to acquire concept's classifying rules through knowledge reduction maintaining classify ability. Therefore, we can use RS theory to fault diagnosis based on rules. This paper presents a flow chart of rule acquisition based on decision matrix and decision function, explains its application method using a fault diagnosis example, and proves its validity.