Inference on Constant-Stress Accelerated Life Testing Based on Geometric Process for Extension of the Exponential Distribution  under Type-II Progressive Censoring

El-Raheem, Abd El-Raheem M. Abd; Abu-Youssef, S. E.; Ali, Nahed S. A.; El-Raheem, A. M. Abd

doi:10.18187/pjsor.v14i2.1493

Cited by 13 publications

(4 citation statements)

References 25 publications

(15 reference statements)

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“…ALT is one of the most well-known methods of reducing the time of data acquisition by exposing equipment to an extreme environment [19,20]. These extreme environments usually are obtained by increasing temperature, pressure, humidity, voltage, or the number of operations to be harsher than the normal usage conditions [21]. In our case, we constructed that the number of operations is main stress of ALT.…”

Section: Data Collectionmentioning

confidence: 99%

Remanufacturing Decision-Making for Gas Insulated Switchgear with Remaining Useful Life Prediction

et al. 2022

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Remanufacturing has emerged as a way to solve production problems, as raw material costs increase and environmental pollution caused by discarded equipment occurs. The process can extend product lifetime and prevent waste of resources. In particular, it has economical efficiency for large equipment such as GIS (Gas Insulated Switchgear). The crucial points in remanufacturing are determining replaceable parts and economic valuation. To address these issues, we propose a framework for remanufacturing GIS with remaining lifetime prediction. We construct a regression model for remaining useful life (RUL) in the proposed framework using GIS sensor data. The cost of the replacement parts is estimated with the selected sensors. To validate the effectiveness of the proposed framework, we conducted accelerated life testing on a GIS for data acquisition and applied our framework. The experimental results demonstrate that the tree-based RUL regression model outperforms the others in prediction accuracy. In the simulation of part replacement, the important sensor-based decision-making improves RUL significantly.

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Section: Data Collectionmentioning

confidence: 99%

Remanufacturing Decision-Making for Gas Insulated Switchgear with Remaining Useful Life Prediction

et al. 2022

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“…This data set represents the failure times of the air conditioning system of an airplane. The data set is given below: ----------------------------------------1, 3, 5, 7, 11, 11, 11, 12, 14, 14, 14, 16, 16, 20, 21, 23, 42, 47, 52, 62, 71, 71, 87, 90, 95, 120, 120, 225, 246, 261. ----------------------------------------In recent years this data set has been also analyzed by Singh et al (2015), Mohamed et al (2018) and Ashour et al (2020). Before performing the data analysis, we test the goodnessof-fit of this set of data with the Weibull distribution using the Kolmogorov-Smirnov (K-S) statistic.…”

Section: Real Data Anlysismentioning

confidence: 99%

Reliability analysis of K-out-of-N system for Weibull components based on generalised progressive hybrid censored data

Dutta¹,

Kayal²

2022

Preprint

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In this paper, we have investigated the reliability of a K-out-of-N system for the components following Weibull distribution based on the generalized progressive hybrid censored data. We have obtained the maximum likelihood estimates (MLEs) of the unknown parameters and the reliability function of the system. Using asymptotic normality property of MLEs, the corresponding asymptotic confidence intervals are constructed. Furthermore, Bayes estimates are derived under squared error loss function with informative prior by using Markov Chain Monte Carlo (MCMC) technique. Highest posterior density (HPD) credible intervals are obtained. A Monte Carlo simulation study is carried out to compare performance of the established estimates. Finally, a real data set is considered for illustrative purposes.

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“…27 discussed the constant-stress accelerated life test model for the NHD under PCS-TII. 28 discussed the frequentist and Bayes estimators of the unknown parameters of NHD based on record values. 29 studied the unknown NHD parameters based on upper record values.…”

Section: Introductionmentioning

confidence: 99%

Statistical reliability analysis of electronic devices using generalized progressively hybrid censoring plan

Elshahhat

Azm

2022

Quality & Reliability Eng

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Generalized progressive hybrid censoring plan proposed to overcome the limitation of the progressive hybrid censoring scheme is that it cannot be applied when very few failures may occur before pre-specified terminal time 𝑇. In this paper, the estimating problems of the model parameters, reliability and hazard rate functions of Nadarajah-Haghighi distribution when a sample is available from generalized progressive hybrid censoring have been considered. The maximum likelihood and Bayes estimators have been obtained for any function of the model parameters. Approximate confidence intervals for the unknown parameters and any function of them are constructed. Using independent gamma informative priors, the Bayes estimators of the unknown parameters are derived under the squared-error loss function. Two approximation techniques, namely: Lindley approximation method and Metropolis Hastings algorithm have been used to carry out the Bayes estimates and also to construct the associate highest posterior density credible intervals. The performance of the proposed methods are evaluated through a Monte Carlo simulation study. To select the optimum censoring scheme among different competing censoring plans, different optimality criteria have been considered. A real-life dataset, representing the failure times of electronic devices, is analyzed to demonstrate how the applicability of the proposed methodologies in real phenomenon.

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Inference on Constant-Stress Accelerated Life Testing Based on Geometric Process for Extension of the Exponential Distribution under Type-II Progressive Censoring

Cited by 13 publications

References 25 publications

Remanufacturing Decision-Making for Gas Insulated Switchgear with Remaining Useful Life Prediction

Remanufacturing Decision-Making for Gas Insulated Switchgear with Remaining Useful Life Prediction

Reliability analysis of K-out-of-N system for Weibull components based on generalised progressive hybrid censored data

Statistical reliability analysis of electronic devices using generalized progressively hybrid censoring plan

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