Optimal design of step-stress accelerated degradation test oriented by nonlinear and distributed degradation process

Zheng, Bokai; Chen, Cen; Lin, Yigang; Hu, Y.; Ye, Xuerong; Zhai, Guofu; Zio, Enrico

doi:10.1016/j.ress.2021.108087

Cited by 17 publications

(6 citation statements)

References 35 publications

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“…Accelerated testing is usually adopted to speed up failures of highly reliable products for reliability analysis. In such tests, products are exposed to harsher-than-normal conditions (e.g., load, strain, temperature, voltage, vibration, and pressure) in an efort to collect failure time data in a short amount of time without changing the failure mechanisms [48,49]. A lot of existing research using accelerating test data to verify their prognostic methods [50][51][52], and their studies show that features extracted in accelerating test data can be used to validate the remaining useful life, indicate the degradation process, and evaluate the reliability.…”

Section: Accelerated Life Test Of Harmonic Reducers As Shown Inmentioning

confidence: 99%

Discovering New Prognostic Features for the Harmonic Reducer in Remaining Useful Life Prediction

Jiang

et al. 2023

Shock and Vibration

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Vibration and current signals are widely used in fault diagnosis and life prediction of electromechanical transmission systems. However, due to the complex working environment of harmonic reducer in the industrial robot, using a single signal for failure analysis or life prediction may risk to false alarming due to lacking of fault information. In the early operation stage of equipment, fault information contained in the signal is too weak to be extracted. In addition, there is certain correlation among the features, which can lead to meaningless superposition of the calculation process. Therefore, a new health index construction method is proposed integrating the current signal and vibration signal and reducing the redundancy among the features in multidomains and can effectively enhance the fault information. In addition, in view of the local optimum and slow speed caused by the random initialization of the network model, an improved life prediction method is proposed to optimize BP neural network to improve the prediction performance. The proposed method is verified by the test data of the harmonic reducer. Results show that the proposed method can predict the remaining useful life of the harmonic reducer more accurately and effectively.

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Section: Accelerated Life Test Of Harmonic Reducers As Shown Inmentioning

confidence: 99%

Discovering New Prognostic Features for the Harmonic Reducer in Remaining Useful Life Prediction

Jiang

et al. 2023

Shock and Vibration

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“…As deterioration is a result of accumulated damage over time, ADTs are commonly employed to gather feature information and their degeneration data is associated with lifespan. 4 Based on varying stress loading techniques, ADT can be classified into different types: CSADT, [5][6][7] step-stress ADT (SSADT), [8][9][10] and progressive-stress ADT (PSADT). 11 The convenient operation of CSADT has made it a widely used tool in aerospace, engineering, and other industries.…”

Section: Introductionmentioning

confidence: 99%

“…Hence, treating the diffusion parameter as a constant may affect the accuracy of evaluating experiments. 23,24 Qian et al 25 and Zheng et al 9 used a similar approach to establish a connection between diffusion parameter and stress, as they did for drift parameter and stress. The cited research concludes that degradation modeling highly depends on multiple stress factors and non-constant diffusion parameter.…”

Section: Introductionmentioning

confidence: 99%

Optimal design of constant‐stress accelerated degradation tests based on the Wiener process with manufacturing batches heterogeneity and individual differences

Li,

Gu,

Chen

et al. 2024

Quality & Reliability Eng

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The use of Constant‐stress accelerated degradation tests (CSADT) modeling is an effective way to assess the reliability of products. However, when conducting reliability experiments, the data collected may come from various sources such as different manufacturing batches, equipment, and operators. This can result in reduced accuracy of the test evaluations. In this research paper, we propose optimal designs for the Wiener constant‐stress accelerated degradation model that take into account the heterogeneity of manufacturing batches and individual differences. Our goal is to minimize the variability of the mean time to failure (MTTF) while working within a specified budget, test time, and available test units. To achieve this, we utilize particle swarm optimization (PSO) to find the best solution based on a complex objective function. We also compare our model with others using degradation data from LEDs, showing that our model has a better goodness‐of‐fit. Finally, we present examples of optimal CSADT plans under different constraints and conduct sensitivity analysis.

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“…They obtain an optimal experiment plan by minimizing the asymptotic variance of the estimated reliability of the product under the budget and boundary constraints. Zheng and Chen [17] developed an optimal design method for SSADT based on the generalized Wiener process degradation model. Wang et al [18] Provided an optimal SSADT plan for the IG degradation process under the constraint of the total experimental budget by minimizing the asymptotic variance of the estimated p-quantile of the lifetime distribution of the product.…”

Section: Introductionmentioning

confidence: 99%

“…To carry out the optimal design of SSADT, two critical tasks need to be dealt with, one is the selection of the optimization criterion, and the other is the selection of the degradation model. For the first one, extensive studies have applied different optimization criteria to obtain optimal ADT plans, and these strategies can be sorted into two categories [17]. The first strategy is to enhance the estimation accuracy of the unknown parameters of degradation models, such as D-optimality.…”

Section: Introductionmentioning

confidence: 99%

Optimal design of step-stress accelerated degradation tests based on the Tweedie exponential dispersion process

Yan¹,

Xu²,

Bigaud³

et al. 2023

Reliability Engineering & System Safety

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Optimal design of step-stress accelerated degradation test oriented by nonlinear and distributed degradation process

Cited by 17 publications

References 35 publications

Discovering New Prognostic Features for the Harmonic Reducer in Remaining Useful Life Prediction

Discovering New Prognostic Features for the Harmonic Reducer in Remaining Useful Life Prediction

Optimal design of constant‐stress accelerated degradation tests based on the Wiener process with manufacturing batches heterogeneity and individual differences

Optimal design of step-stress accelerated degradation tests based on the Tweedie exponential dispersion process

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