Research on reliability evaluation methods for vehicle durability test

This study presents a novel reliability quantification model tailored for vehicle durability testing and introduces a weighted evaluation framework that incorporates failure severity, MTTFF (Mean Time to First Failure), and MTBF (Mean Time Between Failures). The findings demonstrate that the proposed model provides an effective means of quantifying the reliability levels associated with vehicle durability tests. This framework offers a rigorous and data-driven basis for optimization in design processes and supports informed decision-making during various stages of automotive development.

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Publication Details

Journal
IET conference proceedings.
Published
2025-12-01
DOI
https://doi.org/10.1049/icp.2025.3741
Primary Topic
Probabilistic and Robust Engineering Design
Type
article
Field-Weighted Citation Impact
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article

Research on reliability evaluation methods for vehicle durability test

Chunhui Gong, Xiaoqiang Cheng, Shengchao Li
IET conference proceedings.
Probabilistic and Robust Engineering Design
article

Research on reliability evaluation methods for vehicle durability test

Chunhui Gong, Xiaoqiang Cheng, Shengchao Li
article en

Abstract

This study presents a novel reliability quantification model tailored for vehicle durability testing and introduces a weighted evaluation framework that incorporates failure severity, MTTFF (Mean Time to First Failure), and MTBF (Mean Time Between Failures). The findings demonstrate that the proposed model provides an effective means of quantifying the reliability levels associated with vehicle durability tests. This framework offers a rigorous and data-driven basis for optimization in design processes and supports informed decision-making during various stages of automotive development.

IET conference proceedings.Vol. 2025(35)
Jiangling Motors Corporation (China) (CN)
Openalex Percentile: Top 61%
Probabilistic and Robust Engineering Design
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