Method of fault diagnosis for cold storage system based on probabilistic rough set and SVM

Abstract

Proposed a method of fault diagnosis for cold storage system, the method based on probabilistic rough set and support vector machine(SVM). Simplify the uncertain information by using probabilistic rough set of Bayes decision making. Design a multi-level classifier of SVM to fault diagnosis. Research the typical fault set of cold storage system with the proposed method. The results show the accuracy ability of fault diagnosis with the proposed method.