Research and Implementation of an Expert System for Fault Diagnosis of Fan Based on Knowledge Rule

Abstract

An example of the rule-based expert system applied to the fan fault diagnosis is presented. The architecture and function of the fault diagnosis system are introduced. The expression of the fault diagnosis knowledge and the attribute of knowledge base based on the relational database have been studied. The hybrid reasoning technology was applied to the implementation of the diagnosis inference engine in the expert system. The presented fault diagnosis system is easy to modify the knowledge base with the experience accumulated in practice, and it has the advantages of expansibility, portability, concision, and high efficiency.

Cases Integration System for Fault Diagnosis of CNC Machine Tools Based on Knowledge Graph

“…As a reliable system for rapid troubleshooting and diagnosis, the fault diagnosis system has been developed in the industry for many years, and a lot of important research on fault mechanisms and fault models has been accumulated. Mainly in the following aspects: (1) In-depth study of specific components of CNC machine tools; (2) According to the structural characteristics of the diagnosis object, combined with the specific content and phenomenon of the fault and the fault diagnosis experience of domain experts, construct the knowledge base of the fault diagnosis system; (3) Starting from the whole manufacturing process, combined with the connection of various factors, finally establish relevant simulation models, such as directed graph models [1]. Li Yeshun and others used knowledge discovery and data mining to build a power equipment fault diagnosis system, which solved the problem of directly obtaining knowledge from domain experts and knowledge engineers [2].…”