Proceedings of the 3rd International Conference on Management Science and Software Engineering (ICMSSE 2023)

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Equipment reliability assessment based on a two-parameter Weibull distribution

Authors
Wentao Dong1, *, Xiaowei Zhang1, Yucai Dong1, Yuanyuan Lin1
1The Fifteenth Research Institute, China Electronics Technology Group Corporation, Beijing, China
*Corresponding author. Email: 1182575438@qq.com
Corresponding Author
Wentao Dong
Available Online 9 October 2023.
DOI
10.2991/978-94-6463-262-0_56How to use a DOI?
Keywords
two-parameter Weibull; equipment reliability; KS test; probability distribution function
Abstract

A computational model for assessing equipment reliability is developed using the two-parameter Weibull parameter, fitting the probability density function, probability distribution function and reliability function for the occurrence of equipment failures, relying on the least binomial to fit the shape and size parameters of the model, and using the KS test to check whether the extracted samples conform to the theoretical distribution. Finally, based on the analysis of equipment failure examples by the developed model, the variation law of equipment reliability with motorbike hours is calculated and the fitted probability distribution function can be matched with the original data points of equipment failure. The results show that the proposed method is important for targeted reliability assessment and fault prediction.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 3rd International Conference on Management Science and Software Engineering (ICMSSE 2023)
Series
Atlantis Highlights in Engineering
Publication Date
9 October 2023
ISBN
978-94-6463-262-0
ISSN
2589-4943
DOI
10.2991/978-94-6463-262-0_56How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Wentao Dong
AU  - Xiaowei Zhang
AU  - Yucai Dong
AU  - Yuanyuan Lin
PY  - 2023
DA  - 2023/10/09
TI  - Equipment reliability assessment based on a two-parameter Weibull distribution
BT  - Proceedings of the 3rd International Conference on Management Science and Software Engineering (ICMSSE 2023)
PB  - Atlantis Press
SP  - 537
EP  - 545
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-262-0_56
DO  - 10.2991/978-94-6463-262-0_56
ID  - Dong2023
ER  -