RESEARCH PAPER
Reliability analysis of the vehicle door system EDCU based on Weibull distribution
1
Shanghai University of Engineering Science, China
2
Shanghai Shentong Metro Co, China
Submission date: 2024-07-20
Final revision date: 2024-10-01
Acceptance date: 2024-10-26
Online publication date: 2024-11-03
Publication date: 2024-11-03
Corresponding author
Eksploatacja i Niezawodność – Maintenance and Reliability 2025;27(2):195257
HIGHLIGHTS
- A two-parameter Weibull function model was proposed to research the failure law of EDCU.
- A two-parameter Weibull function model fitted by the least squares method.
- Logarithmic approach based on the least squares method.
- The failure law of components provides a basis for optimizing their maintenance methods.
KEYWORDS
TOPICS
ABSTRACT
The paper established a two-parameter Weibull distribution model to analyze the failure law of key components of metro vehicles and employed the least squares method to fit the parameters of the Weibull function. The paper provided a detailed introduction of the model's parameter fitting method based on actual historical failure data. Taking the EDCU (Electrical Door Control Unit) as an example, the failure rate, cumulative failure rate, and reliability of EDCU for 3 different vehicle models were calculated, and the calculation results were verified to conform to the Weibull distribution through Q-Q diagrams. The results show that although the designed service life of EDCU of vehicle door system is 15 years, the reliability of the EDCU decreases significantly around 10 years. The EDCU reliability of the three vehicle models declines by 22%, 4.2%, 10.6% and the failure rates are 2.7%, 0.57%, 1.13%. Based on the reliability of EDCU mentioned above, while ensuring the reliability of components, the maintenance methods of components can be optimized to reduce maintenance costs.
REFERENCES (17)
1.
Chen S, Ho T, Mao B. Reliability evaluations of railway power supplies by fault-tree analysis. IET Electric Power Applicationsl 2007; 1(2): 161-172, https://doi.org/10.1049/iet-ep... .
2.
Cheng X, Xing Z, Qin Y, Zhang Y, Pang S, Xia J. Reliability analysis of metro door system based on FMECA. Journal of Intelligent Learning Systems and Applications 2013; 5(04): 216-220. https://doi.org/10.4236/jilsa.... .
3.
Wang W, Liu W, Fang Y, Zheng Y, Lin C, Jiang Y, et al. Reliability analysis of vehicle sliding plug doors based on improved FMECA and Weibull distribution. Maintenance & Reliability/Eksploatacja i Niezawodność 2024; 26(2): 1, https://doi.org/10.17531/ein/1... .
4.
Shi F, Gao X, Xing Z, Chen Y, Qin Y. Reliability Analysis of The Vehicle Door System Based on Monte Carlo. In: International Conference on Computer Information Systems and Industrial Applications. Paris: Atlantis Press; 2015. pp. 330-333. https://doi.org/10.2991/cisia-....
5.
Matsuoka T, Kobayashi M. The GO-FLOW reliability analysis methodology-analysis of common cause failures with uncertainty. Nuclear Engineering and Design 1997; 175(3): 205-214,. https://doi.org/10.1016/S0029-... .
6.
Yi X J, Shi J, Cheng J. Reliability technology using GO methodology: a review. Quality and Reliability Engineering International 2019; 35(8): 2513-2539 , https://doi.org/10.1002/qre.25... .
7.
Bennetts R. Analysis of reliability block diagrams by Boolean techniques. IEEE Transactions on Reliability 1982; 31(2): 159-166,... https://doi.org/10.1109/TR.198... .
8.
Ping Y, Ren Y, Li Z, Yang D, Yang C. An effective hybrid method for analysis the large-scale reliability block diagram model. Eksploatacja i Niezawodność 2023; 25(3): 1-12, 2009. https://doi.org/10.17531/ein/1... .
9.
Wang B, Sun S, Ma S, Wang X. Fatigue damage and reliability assessment of subway train bogie frames under operating conditions. Advances in Mechanical Engineering 2020; 12(1): 1-9, 2012. https://doi.org/10.1177/168781... .
10.
Hu D, Jin X, Yang C, Wang H. Strength analysis of subway bogie frame based on experiment. In: Seventh International Conference on Traffic Engineering and Transportation System (ICTETS 2023). Bellingham, WA: SPIE; 2024. pp. 416-423. https://doi.org/10.1117/12.301....
11.
Zhang H, Li X, Zhou Y. Thermal failure analysis of special-shaped crown spring connectors for rail vehicles. Engineering Failure Analysis 2023; 149. 107241, 2009. https://doi.org/10.1016/j.engf... .
12.
Liu L, Ding N, Xu N, Guo W, Shi J, Li N, et al. Failure analysis and optimization of a suspended structure in the power supply system of the subway. engineering Failure Analysis 2020; 115: 104619,. Engineering Failure Analysis 2020; 115: 104619, https://doi.org/10.1016/j.engf... .
13.
Chen X, Jing Y. Reliability Research of Rail Transit Equipment Based on Survival Analysis. in: 2019 4th International Conference on Electromechanical Control Technology and Transportation (ICECTT). Piscataway, NJ: IEEE; 2019. pp. 27-32. https://doi.org/10.1109/ICECTT....
14.
Toscano R, Lyonnet P. On-line reliability prediction via dynamic failure rate model. IEEE Transactions on Reliability 2008; 57(3): 452-457, https://doi.org/10.1109/TR.200... .
15.
Grodzensky S Y. Reliability models based on modified Weibull distributions. Measurement Techniques 2013; 56: 768-774, https://doi.org/10.1007/s11018... .
16.
Marden J I. Positions and QQ plots. Statistical Science 2004; 19(4): 606-614, https://doi.org/10.1214/088342... .
17.
Li Y D. Preliminary exploration of functions and frequent faults of electronic door control unit (EDCU) in Nanjing metro vehicles. Modern Urban Transit Modern Urban Transit 2009; (4): 40-42. https://doi.org/10.3969/j.issn... .
| eISSN: | 2956-3860 |
| ISSN: | 1507-2711 |
We process personal data collected when visiting the website. The function of obtaining information about users and their behavior is carried out by voluntarily entered information in forms and saving cookies in end devices. Data, including cookies, are used to provide services, improve the user experience and to analyze the traffic in accordance with the Privacy policy. Data are also collected and processed by Google Analytics tool (more).
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
