Research on thermo-electric degradation tests based on polyimide degradation data

Zhang, Qin; Zhang, Jian; Fang, Youtong; Huang, Xiaoyan; Shen, Jinhao; Li, Ziang

doi:10.1109/ecce-asia49820.2021.9479121

2021 IEEE 12th Energy Conversion Congress &Amp; Exposition - Asia (ECCE-Asia) 2021

DOI: 10.1109/ecce-asia49820.2021.9479121

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Research on thermo-electric degradation tests based on polyimide degradation data

Qin Zhang

Jian Zhang

Youtong Fang

et al.

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2024

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Acceleration model considering multi‐stress coupling effect and reliability modeling method based on nonlinear Wiener process

Yi,

Wang,

Liu

et al. 2024

Quality & Reliability Eng

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Establishing an accurate accelerated degradation model is paramount for ensuring precise reliability evaluation results. Unfortunately, current accelerated degradation tests often lack test groups for investigating multi‐stress coupled phenomena. Consequently, existing multi‐stress accelerated models fail to adequately consider the impact of stress coupling when data with stress coupling information is absent. This limitation leads to the development of inaccurate models, ultimately affecting the precision of reliability assessment. To address this challenge, this paper introduces a new modeling method for multi‐stress accelerated degradation models that takes into account stress coupling effects. The proposed modeling method aims to improve the accuracy of reliability assessment under multi‐stress conditions. In the proposed model, the main effect function of stress is determined based on existing single‐stress accelerated models. The coupling effect is first examined through the Multivariate Analysis of Variance (MANOVA), and then the functional form of the coupling effect function is determined from the given candidate functions through correlation analysis. Next, the coupling effect is incorporated into a Wiener process to establish a multi‐stress accelerated degradation model, and the two‐step estimation method combining Least Squares Method (LSM) and Differential Evolution Algorithm (DEA) is proposed. The accuracy and effectiveness of the coupling effect test method, model establishment, and parameter estimation method were validated using two Monte Carlo simulation experimental data sets. Finally, the superiority of the proposed model is demonstrated through examples, providing feasible ideas and technical support for the research on multi‐stress accelerated degradation modeling considering stress coupling.

show abstract

Acceleration model considering multi‐stress coupling effect and reliability modeling method based on nonlinear Wiener process

Yi,

Wang,

Liu

et al. 2024

Quality & Reliability Eng

View full text Add to dashboard Cite

show abstract

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Research on thermo-electric degradation tests based on polyimide degradation data

Cited by 1 publication

References 4 publications

Acceleration model considering multi‐stress coupling effect and reliability modeling method based on nonlinear Wiener process

Acceleration model considering multi‐stress coupling effect and reliability modeling method based on nonlinear Wiener process

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