| Issue |
E3S Web Conf.
Volume 601, 2025
The 3rd International Conference on Energy and Green Computing (ICEGC’2024)
|
|
|---|---|---|
| Article Number | 00075 | |
| Number of page(s) | 11 | |
| DOI | https://doi.org/10.1051/e3sconf/202560100075 | |
| Published online | 16 January 2025 | |
Methodical Approach to Selecting the Appropriate Distribution for Reliability Analysis: Automotive Application
1 PhD Student in Mechatronics, passionate about mechatronics and complex systems. Lab of Advanced Systems Engineering, Ibn Tofail University, ENSA, Kenitra, Morocco
2 PhD Student in Embedded Systems. Lab of Advanced Systems Engineering, Ibn Tofail University, ENSA, Kenitra, Morocco
3 Professor, qualified to supervise research in industrial technologies, automotive mechatronic systems, And Robotic at Ibn Tofail University. Lab of Advanced Systems Engineering, Ibn Tofail University, ENSA, Kenitra, Morocco
* Contact: +212 6 06 11 97 78 Email: naoufal.bella@uit.ac.ma
** Contact: +212 6 28 88 96 66 Email: nohaila.salhi@uit.ac.ma
*** Contact: +212 6 65 63 38 51 Email: ismail.lagrat@uit.ac.ma
In this study, we propose a methodical approach to selecting an appropriate statistical distribution for reliability analysis. In this approach, we have defined a methodology for testing reliability distributions based on the Kolmogorov Smirnov K-S test for MTBF Data collected from Self-Diagnostic of a sample of 50 critical components part of a complex automotive system. Finally, we proposed two solutions: the first involves migrating from one distribution to another according to the intervals, and the second allows for the selection of the distribution that is representative over a maximum number of intervals. These strategies were developed from the analysis of results after application of the K-S test on the distributions tested. This approach will contribute. to the reliability analysis of complex systems. As a result, in improving the models used to analyze complex systems behavioral analogies such as Petri nets or Markov chains.
Key words: Statistical distribution / Kolmogorov Smirnov K-S test / Self-Diagnosis / reliability of complex automotive systems
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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