基于维纳过程的恒定应力加速降解试验的多应力优化设计

IF 1.7 4区 工程技术 Q3 ENGINEERING, INDUSTRIAL
Li Nianhuan, Gu Dongwei, Wang Zhiqiong, Wang Juncheng, Li Shuailin, Chen Bingkun, Chen Pengfei
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引用次数: 0

摘要

恒应力加速降解试验(CSADT)是评价产品可靠性的有效手段,可确保在有限的资金条件下准确评估可靠性相关指标。CSADT 的优化设计已得到广泛应用。维纳过程在捕捉产品固有不确定性所导致的非单调降解路径的随机性方面的优势也被广泛应用于加速降解试验(ADT)。针对传统维纳过程的扩散系数恒定导致试验评估精度低的缺点,提出了一种与应力相关的扩散系数的多应力耦合恒定加速度降解模型。其中包括构建以模型参数估计方差最小化为优化目标的 D 优化准则,以及基于粒子群优化(PSO)的方案优化方法和成本约束。通过对 LED 灯 ADT 案例研究的分析,对考虑或不考虑应力相关扩散系数的四个加速降解模型进行比较和参数敏感性分析,验证了本文模型的有效性和稳健性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multiple stresses optimization design of constant-stress accelerated degradation test based on Wiener process
Constant-stress accelerated degradation test (CSADT) is an effective means of evaluating the reliability of products, to ensure accurate assessment of reliability-related indicators under limited funds. The optimized design of CSADT has been widely applied. The advantage of Wiener process in capturing the random nature of non-monotonic degradation paths caused by inherent uncertainties in products has also been widely used in the application of accelerated degradation tests (ADT). To address the drawback of traditional Wiener process with constant diffusion coefficients leading to low accuracy in test evaluation, a multi-stress coupled constant acceleration degradation model with stress-related diffusion coefficients is proposed. This includes the construction of a D-optimization criterion that minimizes the variance of model parameter estimation as the optimization target, and a scheme optimization method based on Particle Swarm Optimization (PSO) with cost constraints. Through the analysis of a case study of ADT for LED lamps, comparison and parameter sensitivity analysis of four accelerated degradation models with or without considering stress-related diffusion coefficients, the effectiveness, and robustness of the model in the paper are validated.
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来源期刊
CiteScore
4.50
自引率
19.00%
发文量
81
审稿时长
6-12 weeks
期刊介绍: The Journal of Risk and Reliability is for researchers and practitioners who are involved in the field of risk analysis and reliability engineering. The remit of the Journal covers concepts, theories, principles, approaches, methods and models for the proper understanding, assessment, characterisation and management of the risk and reliability of engineering systems. The journal welcomes papers which are based on mathematical and probabilistic analysis, simulation and/or optimisation, as well as works highlighting conceptual and managerial issues. Papers that provide perspectives on current practices and methods, and how to improve these, are also welcome
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