详细信息
A New Fault Diagnosis Method for Quality Control of Electromagnet Based on T - S Fault Tree and Grey Relation ( EI收录)
文献类型:期刊文献
英文题名:A New Fault Diagnosis Method for Quality Control of Electromagnet Based on T - S Fault Tree and Grey Relation
作者:Pang, Jihong[1]; Dai, Jinkun[2]; Zhou, Hongyong[1]; Li, Yong[2]
机构:[1] College of Business, Shaoxing University, Shaoxing, 312000, China; [2] College of Mechanical and Electrical Engineering, Wenzhou University, Wenzhou, 325035, China
年份:2022
卷号:29
期号:4
外文期刊名:International Journal of Reliability, Quality and Safety Engineering
收录:EI(收录号:20224012827151)、Scopus(收录号:2-s2.0-85139084725)
语种:英文
外文关键词:Electromagnets - Fault detection - Fault tree analysis - Machining centers
外文摘要:Product fault diagnosis has been a focus of research in the field of quality control. Many studies have been made to ensure the accuracy of fault diagnosis in electromagnet quality control direction. However, in the pursuit of perfect identification method, the fault diagnosis process is extremely complex in quality control management. A new fault diagnosis method for quality control of electromagnet machining processes based on T-S fault tree and grey relation degree analysis is proposed in this paper. First, T-S fault tree is used to analyze and describe the dynamic fault relationship of the electromagnet machining processes. In order to make the fault mode more intuitive and specific, T-S fault tree logic diagram is used to describe the actual fault form of machining processes. Second, according to the fault output algorithm of T-S fault tree, the fault rate of basic event in each cycle is calculated and the fault rate of intermediate event and top event in each cycle is obtained. Then, the grey relation method is applied to calculate the relation between the basic event and the trend of top event failure rates in electromagnet machining processes. Based on the obtained relation degree, the faulty system of electromagnet machining processes can be repaired pertinently and achieve the purpose of quality control. Finally, an example of electromagnet quality control's fault diagnosis is used to verify the objectivity and simplicity of the new method. ? 2022 World Scientific Publishing Company.
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