Optimal design of accelerated life test with competitive failure products based on function transformation
Competitive failure is an important failure mode of products, for high reliability, long life, competition failure products, usually using the method of accelerated test to assess the reliability of the product. In recent years, the competitive index distribution failure product accelerated life test optimization design has made great progress, but the Weibull distribution of competitive failure product accelerated life test optimization design is still in the exploratory stage. Due to the complexity of statistical analysis of accelerated data with competitive failure products, the statistical processing of accelerated data of competitive failure products is introduced from the perspective of reliability analysis, the influence of competitive failure mechanism on reliability assessment cannot be ignored, so it is necessary to study the design optimization of accelerated life test with competitive failure products. But it is very difficult to realize design optimization of accelerated life test with competitive failure products under analytical solution. The analytical solution is transformed into the constrained extremal solution of explicit function, and the method of explicit objective function fitting is proposed to realize the optimal design of constant stress accelerated life test with competitive failure products. Through the simulation data, it is concluded that the optimal test scheme has the advantages of feasibility, stability.
Authors
- Zhi Wang (ORCID: https://orcid.org/0000-0002-2818-0192)
- Zhang Fei (ORCID: https://orcid.org/0000-0002-1194-8513)
- Wenjie Fan (ORCID: https://orcid.org/0000-0002-3727-4748)
- Lin Su (ORCID: https://orcid.org/0009-0003-8051-7770)
Institutions
- China Meteorological Administration (CN)
- State Intellectual Property Office (CN)
Publication Details
- Journal
- IET conference proceedings.
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1049/icp.2024.2903
- Primary Topic
- Software Reliability and Analysis Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00