Research on fault diagnosis of hot die forging multi-station feeding manipulator

Abstract

In order to improve the efficiency of fault diagnosis of hot die forging multi-station feeding manipulator, according to the fault characteristics of the feeding manipulator, an expert system structure based on fault tree analysis and binary decision graph was designed, and a diagnosis method based on expert system was proposed. Firstly, according to the fault causes of multi-station feeding manipulator, the fault tree is established. Secondly, the binary decision graph is used to analyse the fault tree, acquire the diagnosis expert knowledge, and establish the knowledge base of fault diagnosis. Then, the binary decision graph is used to quantitatively analyse the fault tree, the importance of the minimum cut set is solved, and the rule priority is determined, so as to solve the rule conflict problem and improve the efficiency of fault diagnosis. Finally, a case study is conducted. The results prove the validity and feasibility of the fault diagnosis method proposed in this paper.