Comparing Fault Tree Analysis methods combined with Generalized Grey Relation Analysis: A new approach and case study in the automotive industry

被引:0
作者
Shi, J. L. [1 ]
Lu, Z. C. [1 ]
Xu, H. H. [1 ]
Ren, M. M. [1 ]
Shu, F. L. [1 ]
机构
[1] Dalian Polytech Univ, Sch Mech Engn & Automat, Dalian, Peoples R China
来源
ADVANCES IN PRODUCTION ENGINEERING & MANAGEMENT | 2023年 / 18卷 / 04期
关键词
Fault tree analysis (FTA); Generalized Grey Relation Analysis (GGRA); Failure mode; Fault diagnosis; Complex system; Fault Tree Analysis combined with Absolute Grey Relation Analysis (F-AGRA); Fault Tree Analysis combined with Relative Grey Relation Analysis (F-RGRA); Fault Tree Analysis combined with Comprehensive Grey Relation Analysis (C-GRA);
D O I
10.14743/apem2023.4.485
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The failure modes of products gradually show a diversified trend with the precision and complexity of the product structure. The combination of fault tree analysis and generalized grey relational analysis is widely used in the fault diagnosis of complex systems. In this study, we utilize a method that combines fault tree analysis and generalized grey relational analysis. This method is applied to diagnose the Expansion Adhesive Debonding fault of automobile doors. Then, we analyse and compare the differences in actual fault diagnosis results. The comparison involves three analysis methods: Fault Tree Analysis combined with Absolute Grey Relation Analysis (F-AGRA), Fault Tree Analysis combined with Relative Grey Relation Analysis (F-RGRA), and Fault Tree Analysis combined with Comprehensive Grey Relation Analysis (F-CGRA). Subsequently, we compare the findings with actual production results. This comparison allows us to discuss the differences between the three methods in the fault diagnosis of complex systems. We also discuss the application occasions of these methods. This study will provide a new method for fault analysis and fault diagnosis in the actual production of the automobile manufacturing industry. This method can eliminate faults effectively and accurately and improve product quality and productivity.
引用
收藏
页码:462 / 474
页数:13
相关论文
共 25 条
[2]  
Chen X., 2019, China Science and Technology of Work Safety, V15, P149
[3]   A Spacecraft Launch Organizational Reliability Model Based on CSF [J].
Dong Xuejun ;
Chen Yingwu ;
Li Ming ;
Zhang Yingxin .
QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL, 2013, 29 (07) :1041-1054
[4]   Fault Tree Analysis Using Bayesian Optimization: A Reliable and Effective Fault Diagnosis Approaches [J].
Jinfei, Liu ;
Yinglei, Li ;
Xueming, Ma ;
Liang, Wang ;
Jielin, Li .
JOURNAL OF FAILURE ANALYSIS AND PREVENTION, 2021, 21 (02) :619-630
[5]  
[李景文 Li Jingwen], 2019, [安全与环境学报, Journal of Safety and Environment], V19, P1128
[6]  
Lin F.F., 2021, China Pharmacist, V24, P1942
[7]  
[刘佳雨 Liu Jiayu], 2022, [哈尔滨工业大学学报, Journal of Harbin Institute of Technology], V54, P57
[8]  
Liu S., 2014, GREY SYSTEM THEORY A, P66
[9]  
[罗承昆 Luo Chengkun], 2021, [国防科技大学学报, Journal of National University of Defense Technology], V43, P155
[10]   Formal Fault Tree Analysis - Practical Experiences [J].
Ortmeier, Frank ;
Schellhorn, Gerhard .
ELECTRONIC NOTES IN THEORETICAL COMPUTER SCIENCE, 2007, 185 (SPEC. ISS.) :139-151