Reliability Analysis for Electronic Devices Using Generalized Exponential Distribution

Electronic devices are integral part of our life and modeling their lifetime is the most challenging and interesting field in reliability analysis. To investigate the failure behavior of electronic devices reliability analysis is commonly used. In the literature, however, it is reported that one in...

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Main Authors: Sajid Ali, Shafaqat Ali, Ismail Shah, Ghazanfar Farooq Siddiqui, Tanzila Saba, Amjad Rehman
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9110822/
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author Sajid Ali
Shafaqat Ali
Ismail Shah
Ghazanfar Farooq Siddiqui
Tanzila Saba
Amjad Rehman
author_facet Sajid Ali
Shafaqat Ali
Ismail Shah
Ghazanfar Farooq Siddiqui
Tanzila Saba
Amjad Rehman
author_sort Sajid Ali
collection DOAJ
description Electronic devices are integral part of our life and modeling their lifetime is the most challenging and interesting field in reliability analysis. To investigate the failure behavior of electronic devices reliability analysis is commonly used. In the literature, however, it is reported that one in five electronic device failure is a result of corrosion and to save electricity and predict future failures, it is important to summarize the data by some flexible probability models. This will not only help the electronic companies, but also the users by providing them information about the maximum voltage level that a particular device can bear. This article deals with the reliability analysis of electronic devices under different voltages assuming modified generalized exponential distribution and beta generalized exponential distribution using the inverse power law rule. The parameters of the modified distribution are estimated assuming Bayesian inference to include prior information. Sensitivity of hyperparameters and selection of an appropriate probability model is also a part of this study.
format Article
id doaj-art-d5054ff3fbff4d9c81aa4db3a2683f53
institution Kabale University
issn 2169-3536
language English
publishDate 2020-01-01
publisher IEEE
record_format Article
series IEEE Access
spelling doaj-art-d5054ff3fbff4d9c81aa4db3a2683f532025-08-22T23:11:55ZengIEEEIEEE Access2169-35362020-01-01810862910864410.1109/ACCESS.2020.30009519110822Reliability Analysis for Electronic Devices Using Generalized Exponential DistributionSajid Ali0https://orcid.org/0000-0003-4868-7932Shafaqat Ali1Ismail Shah2https://orcid.org/0000-0001-5005-6991Ghazanfar Farooq Siddiqui3https://orcid.org/0000-0003-0291-3287Tanzila Saba4https://orcid.org/0000-0003-3138-3801Amjad Rehman5https://orcid.org/0000-0002-3817-2655Department of Statistics, Quaid-i-Azam University, Islamabad, PakistanDepartment of Statistics, Quaid-i-Azam University, Islamabad, PakistanDepartment of Statistics, Quaid-i-Azam University, Islamabad, PakistanDepartment of Computer Science, Quaid-i-Azam University, Islamabad, PakistanArtificial Intelligence and Data Analytics Laboratory, CCIS, Prince Sultan University, Riyadh, Saudi ArabiaArtificial Intelligence and Data Analytics Laboratory, CCIS, Prince Sultan University, Riyadh, Saudi ArabiaElectronic devices are integral part of our life and modeling their lifetime is the most challenging and interesting field in reliability analysis. To investigate the failure behavior of electronic devices reliability analysis is commonly used. In the literature, however, it is reported that one in five electronic device failure is a result of corrosion and to save electricity and predict future failures, it is important to summarize the data by some flexible probability models. This will not only help the electronic companies, but also the users by providing them information about the maximum voltage level that a particular device can bear. This article deals with the reliability analysis of electronic devices under different voltages assuming modified generalized exponential distribution and beta generalized exponential distribution using the inverse power law rule. The parameters of the modified distribution are estimated assuming Bayesian inference to include prior information. Sensitivity of hyperparameters and selection of an appropriate probability model is also a part of this study.https://ieeexplore.ieee.org/document/9110822/Electronic devicesbeta generalized exponential distributionBayesian analysisgeneralized exponential distributioninverse power lawsensitivity analysis
spellingShingle Sajid Ali
Shafaqat Ali
Ismail Shah
Ghazanfar Farooq Siddiqui
Tanzila Saba
Amjad Rehman
Reliability Analysis for Electronic Devices Using Generalized Exponential Distribution
IEEE Access
Electronic devices
beta generalized exponential distribution
Bayesian analysis
generalized exponential distribution
inverse power law
sensitivity analysis
title Reliability Analysis for Electronic Devices Using Generalized Exponential Distribution
title_full Reliability Analysis for Electronic Devices Using Generalized Exponential Distribution
title_fullStr Reliability Analysis for Electronic Devices Using Generalized Exponential Distribution
title_full_unstemmed Reliability Analysis for Electronic Devices Using Generalized Exponential Distribution
title_short Reliability Analysis for Electronic Devices Using Generalized Exponential Distribution
title_sort reliability analysis for electronic devices using generalized exponential distribution
topic Electronic devices
beta generalized exponential distribution
Bayesian analysis
generalized exponential distribution
inverse power law
sensitivity analysis
url https://ieeexplore.ieee.org/document/9110822/
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AT ismailshah reliabilityanalysisforelectronicdevicesusinggeneralizedexponentialdistribution
AT ghazanfarfarooqsiddiqui reliabilityanalysisforelectronicdevicesusinggeneralizedexponentialdistribution
AT tanzilasaba reliabilityanalysisforelectronicdevicesusinggeneralizedexponentialdistribution
AT amjadrehman reliabilityanalysisforelectronicdevicesusinggeneralizedexponentialdistribution