Reliability Modeling With Dynamic Failure Rates and Nonlinear Dependencies.
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| Title: | Reliability Modeling With Dynamic Failure Rates and Nonlinear Dependencies. |
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| Authors: | Karimjonov, Ibrokhimjon1 (AUTHOR), Gholinezhad, Hadi2 (AUTHOR), Fekri, Masoud3 (AUTHOR) masoud.fekri2014@gmail.com, Sattarova, Barnokhon4 (AUTHOR) |
| Source: | Quality & Reliability Engineering International. Jul2026, Vol. 42 Issue 5, p2196-2208. 13p. |
| Subjects: | Reliability in engineering, Engineering systems, Electronic equipment, Failure mode & effects analysis, Mathematics, Engineering reliability theory |
| Abstract: | Reliability assessment of complex engineering systems is crucial for ensuring safety, performance, and cost‐effectiveness. Traditional reliability models frequently treat failure rates as static and analyze component failure rates in isolation. When dependencies are acknowledged, they are typically considered in a linear manner. This approach, however, fails to adequately capture the dynamic and nonlinear interactions that characterize real‐world systems. This paper proposes a novel reliability modeling framework that integrates dynamic failure rates and nonlinear dependencies to enhance predictive accuracy in reliability analysis. The model considers time‐varying operational and environmental factors that influence failure behavior, along with nonlinear interdependencies among system components, which can amplify risks in unpredictable ways. The proposed framework improves reliability estimation under evolving conditions. To illustrate the implications of the proposed model assumptions, the model is applied on two numerical examples and to demonstrate the impact of the model assumptions, the reliability is compared with the case where these assumptions are not considered. The findings of this research contribute to the advancement of reliability engineering by providing a more comprehensive approach to modeling failures in dynamic, interconnected systems. [ABSTRACT FROM AUTHOR] |
| Copyright of Quality & Reliability Engineering International is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 195039591 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Reliability Modeling With Dynamic Failure Rates and Nonlinear Dependencies. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Karimjonov%2C+Ibrokhimjon%22">Karimjonov, Ibrokhimjon</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gholinezhad%2C+Hadi%22">Gholinezhad, Hadi</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Fekri%2C+Masoud%22">Fekri, Masoud</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> masoud.fekri2014@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Sattarova%2C+Barnokhon%22">Sattarova, Barnokhon</searchLink><relatesTo>4</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Quality+%26+Reliability+Engineering+International%22">Quality & Reliability Engineering International</searchLink>. Jul2026, Vol. 42 Issue 5, p2196-2208. 13p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Reliability+in+engineering%22">Reliability in engineering</searchLink><br /><searchLink fieldCode="DE" term="%22Engineering+systems%22">Engineering systems</searchLink><br /><searchLink fieldCode="DE" term="%22Electronic+equipment%22">Electronic equipment</searchLink><br /><searchLink fieldCode="DE" term="%22Failure+mode+%26+effects+analysis%22">Failure mode & effects analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematics%22">Mathematics</searchLink><br /><searchLink fieldCode="DE" term="%22Engineering+reliability+theory%22">Engineering reliability theory</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Reliability assessment of complex engineering systems is crucial for ensuring safety, performance, and cost‐effectiveness. Traditional reliability models frequently treat failure rates as static and analyze component failure rates in isolation. When dependencies are acknowledged, they are typically considered in a linear manner. This approach, however, fails to adequately capture the dynamic and nonlinear interactions that characterize real‐world systems. This paper proposes a novel reliability modeling framework that integrates dynamic failure rates and nonlinear dependencies to enhance predictive accuracy in reliability analysis. The model considers time‐varying operational and environmental factors that influence failure behavior, along with nonlinear interdependencies among system components, which can amplify risks in unpredictable ways. The proposed framework improves reliability estimation under evolving conditions. To illustrate the implications of the proposed model assumptions, the model is applied on two numerical examples and to demonstrate the impact of the model assumptions, the reliability is compared with the case where these assumptions are not considered. The findings of this research contribute to the advancement of reliability engineering by providing a more comprehensive approach to modeling failures in dynamic, interconnected systems. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Quality & Reliability Engineering International is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/qre.70189 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 2196 Subjects: – SubjectFull: Reliability in engineering Type: general – SubjectFull: Engineering systems Type: general – SubjectFull: Electronic equipment Type: general – SubjectFull: Failure mode & effects analysis Type: general – SubjectFull: Mathematics Type: general – SubjectFull: Engineering reliability theory Type: general Titles: – TitleFull: Reliability Modeling With Dynamic Failure Rates and Nonlinear Dependencies. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Karimjonov, Ibrokhimjon – PersonEntity: Name: NameFull: Gholinezhad, Hadi – PersonEntity: Name: NameFull: Fekri, Masoud – PersonEntity: Name: NameFull: Sattarova, Barnokhon IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 07488017 Numbering: – Type: volume Value: 42 – Type: issue Value: 5 Titles: – TitleFull: Quality & Reliability Engineering International Type: main |
| ResultId | 1 |
