Selection of Acceleration Models for Test Planning and Model Usage

Jakob, Frank; Kimmelmann, Martin; Bertsche, Bernd

doi:10.1109/tr.2016.2617364

Cited by 15 publications

(2 citation statements)

References 55 publications

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“…As stated in the literature that discussed the relationship between the Wiener degradation model and external stresses [27], [28], it is reasonable to assume that the diffusion parameter does not change across various workloads and environments, i.e., ≡ .…”

Section: B Load-sharing Modeling and Link Functionmentioning

confidence: 99%

Reliability Modeling and Analysis of Load-Sharing Systems With Continuously Degrading Components

Zhao

Liu

2018

IEEE Trans. Rel.

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This paper presents a reliability modeling and analysis framework for load-sharing systems with identical components subject to continuous degradation. It is assumed that the components in the system suffer from degradation through an additive impact under increased workload caused by consecutive failures. A log-linear link function is used to describe the relationship between the degradation rate and load stress levels. By assuming that the component degradation is well modeled by a step-wise drifted Wiener process, we construct maximum likelihood estimates (MLEs) for unknown parameters and related reliability characteristics by combining analytical and numerical methods. Approximate initial guesses are proposed to lessen the computational burden in numerical estimation. The estimated distribution of MLE is given in the form of multivariate normal distribution with the aid of Fisher information. Alternative confidence intervals are provided by bootstrapping methods. A simulation study with various sample sizes and inspection intervals is presented to analyze the estimation accuracy. Finally, the proposed approach is illustrated by track degradation data from an application example.

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Section: B Load-sharing Modeling and Link Functionmentioning

confidence: 99%

Reliability Modeling and Analysis of Load-Sharing Systems With Continuously Degrading Components

Zhao

Liu

2018

IEEE Trans. Rel.

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“…In recent years, research has focused on the reuse and recycling of components. Many authors have attempted to estimate the RUL using some kind of statistical model based on the fitting of real data (for example [2][3][4]), using Wiener-process-based methods [5] or accelerated tests [6,7].…”

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confidence: 99%

Modeling of Failure Probability for Reliability and Component Reuse of Electric and Electronic Equipment

Conti¹,

Orcioni²

2020

Energies

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Recently, the concept of “circular economy”, the design for end-of-life, the problem of reduction of waste of electronic and electrical equipment are becoming more and more important. The design of electronic systems for end-of-life considers the possibility of their repair, reuse and recycle, in order to reduce waste. This work proposes a new accurate model of failure probability density, that includes the failure probability of a used component in new equipment. The model has been tested, in conjunction with the International Electrotechnical Commission and Telcordia standard, in real industrial production. Eight years of historical faults have been analyzed and used to derive the fault models of the components. The model and analysis have been used for the analysis of real electronic products. The reuse of components could make an improvement to the reliability of the equipment.

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Optimal designs of accelerated degradation tests with random shock failures and measurement errors

Wu,

Zhou,

Yue

2024

Appl Stoch Models Bus & Ind

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Accelerated degradation tests (ADTs) are widely used for assessing the reliability of long‐life products. During an ADT, accelerated stresses not only expedite the degradation of test products but also increase the likelihood of encountering traumatic shocks. Moreover, it is important to acknowledge that measurement errors can be inevitable during the observation process of an ADT. Unfortunately, these errors are often overlooked in the optimal design of the ADT, especially when multiple competing failure modes are present. In this article, we propose a new approach to design ADTs when measurement errors exist and test products suffer from degradation failures and random shock failures. We utilize the Wiener process to model the degradation path, incorporating normally distributed measurement errors, and an exponential distribution to fit the time between random shock failures. Given the number of test products and the termination time, we optimize the ADT plans under three common design criteria. The equivalence theorem is used to verify the optimality of the optimal ADT plans. A real‐life example and sensitivity analysis are provided to illustrate our proposed method. The results demonstrate that when competing failure modes are present, the optimal ADT plans, which account for measurement errors, differ significantly from those that do not consider such errors.

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Selection of Acceleration Models for Test Planning and Model Usage

Cited by 15 publications

References 55 publications

Reliability Modeling and Analysis of Load-Sharing Systems With Continuously Degrading Components

Reliability Modeling and Analysis of Load-Sharing Systems With Continuously Degrading Components

Modeling of Failure Probability for Reliability and Component Reuse of Electric and Electronic Equipment

Optimal designs of accelerated degradation tests with random shock failures and measurement errors

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