Affiliation:
1. College of Business, Shaoxing University, Shaoxing 312000, P. R. China
2. College of Mechanical and Electrical Engineering, Wenzhou University, Wenzhou 325035, P. R. China
Abstract
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 [Formula: see text]–[Formula: see text] fault tree and grey relation degree analysis is proposed in this paper. First, [Formula: see text]–[Formula: see text] 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, [Formula: see text]–[Formula: see text] fault tree logic diagram is used to describe the actual fault form of machining processes. Second, according to the fault output algorithm of [Formula: see text]–[Formula: see text] 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.
Funder
National Natural Science Foundation of China
Natural Science Foundation of Zhejiang Province
Publisher
World Scientific Pub Co Pte Ltd
Subject
Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Energy Engineering and Power Technology,Aerospace Engineering,Safety, Risk, Reliability and Quality,Nuclear Energy and Engineering,General Computer Science
Cited by
3 articles.
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