Reliability assessment model considering heterogeneous population in a multiple stresses accelerated test

Lin, Kaiqi; Chen, Yunxia; Dong, Xu

doi:10.1016/j.ress.2017.03.013

Cited by 33 publications

(19 citation statements)

References 22 publications

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“…The Arrhenius model is widely used in accelerated test evaluation method using temperature as accelerated stress. Its reaction rate model under temperature stress is given by the literature 1,4,5,11,26,27 k single = a 0 0 exp…”

Section: A Universal Multi-stress Acceleration Modelmentioning

confidence: 99%

“…Lifetime prediction technology based on accelerated test has become an inevitable requirement for products' reliability calculation under time and cost constraints. 1,2 However, products usually undergo multi-stress in use conditions, [3][4][5][6][7] including working stress (such as current, voltage, and mechanical load) and environmental stress (such as temperature, humidity, vibration, and shock). Therefore, the traditional accelerated test with single stress cannot simulate the actual stress environment of the product.…”

Section: Introductionmentioning

confidence: 99%

“…11 The model is the most widely used multi-stress accelerated model. For example, Z Yang et al 4 and K Lin et al 5 evaluated the reliable lifetime of smart electricity meter (SEM) based on the generalized linear logarithmic acceleration model. Y Wang and colleagues 6,7 studied the optimal design of step-stress accelerated degradation test with multiple stresses based on the generalized linear logarithmic acceleration model.…”

Section: Introductionmentioning

confidence: 99%

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A new universal multi-stress acceleration model and multi-parameter estimation method based on particle swarm optimization

Liu

Wang

Fan

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part O:

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High reliability and long-lifetime products usually work in multi-stress environment such as temperature, humidity, electricity, and vibration. How to evaluate the reliability of the product under multi-stress condition is an urgent problem to ensure the safe and reliable operation of the product. Accelerated test provides an efficient and feasible way; however, the existing acceleration models have some shortcomings, such as less stress type, neglecting the stress coupling, and multi-parameter estimation difficulties. Therefore, in this article, first, a new universal multi-stress acceleration model is derived based on the classical Arrhenius model. Second, a multi-parameter estimation method for multi-stress model is proposed by combining particle swarm optimization and maximum likelihood estimation. Six simulation cases are used to verify the effectiveness of the proposed multi-parameter estimation method. The results of Case 1 to Case 3 show that the maximum mean square error of five parameters in the multi-stress model without considering stress coupling is 3.71%. The results of Case 4 to Case 6 show that the maximum mean square error of nine parameters in the multi-stress model considering stress coupling is 7.69%. Finally, an application example is performed to investigate the performance of the universal multi-stress acceleration model and multi-parameter estimation method.

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Section: A Universal Multi-stress Acceleration Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A new universal multi-stress acceleration model and multi-parameter estimation method based on particle swarm optimization

Liu

Wang

Fan

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part O:

View full text Add to dashboard Cite

show abstract

“…To address the conflicts among methodologies, some novel methods for data fusion have been proposed, like the hybrid multivariate analysis method, 19,20 the multiple step methods, [21][22][23] and the hybrid methods. 24 Although the present methodologies and techniques are feasible to resolve some problems, the emergence of nondestructive tests, SHM, and equipment evaluation using vibration information demands for the further development to achieve the essential data fusion.…”

mentioning

confidence: 99%

Structural health monitoring for mechanical structures using multi-sensor data

Xiang

Yang

Aguilar

2018

International Journal of Distributed Sensor Networks

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“…Thus, accelerated degradation tests (ADT) are widely used to accelerate the failure/degradation processes by exposing the products to severe test conditions. Successful applications of ADT have been developed for batteries [2], light-emitting diodes [3], metal-oxide-semiconductor field-effect transistors [4], smart electricity meter [5], and others.…”

mentioning

confidence: 99%