An Intelligent Fault Analysis and Diagnosis System for Electromagnet Manufacturing Process Based on Fuzzy Fault Tree and Evidence Theory

Mathematics

Jihong Pang¹  Jinkun Dai²  Yong Li² 

[1] College of Business, Shaoxing University, Shaoxing 312000, China;College of Mechanical and Electrical Engineering, Wenzhou University, Wenzhou 325035, China;

关键词: fuzzy fault tree;    evidence theory;    intelligent analysis;    diagnosis system;    electromagnet manufacturing process;   

DOI  :  10.3390/math10091437

来源: DOAJ

【 摘 要 】

Because an electromagnet has a complex structure and manufacturing process, it is difficult to analyze the overall failure of the electromagnet. In order to solve this problem, a fault intelligent analysis and diagnosis system based on fuzzy fault tree and evidence theory is proposed in this paper. First, the failure structure and fuzzy fault tree are generated according to the experience. Second, the probability of failure caused by basic events is obtained based on the data statistics of the insufficient holding force of the electromagnet in the past. Then, the probability of the basic events is given by using the synthesis rules of evidence theory. Next, the belief interval of the basic event is set as the fuzzy number, and the intelligent analysis is completed by using the calculated fuzzy importance. Finally, the validity and feasibility of the proposed method is proved by using the failure of insufficient retention force in the electromagnet manufacturing process as an example.

【 授权许可】

Unknown