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Independent Competing Risks in Common Shape-Parameter Weibull Systems, With Application to Rolling Bearing Service Life

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Název: Independent Competing Risks in Common Shape-Parameter Weibull Systems, With Application to Rolling Bearing Service Life
Autoři: Edward Hart
Zdroj: IEEE Transactions on Reliability. 74:3137-3151
Informace o vydavateli: Institute of Electrical and Electronics Engineers (IEEE), 2025.
Rok vydání: 2025
Témata: Electrical engineering. Electronics Nuclear engineering
Popis: This paper re-evaluates, formalises and extends a previously proposed methodology for enhancing the specificity of bearing life analysis based on field failure data. The central research problem is demonstrated to relate to characterising validity, accuracy and precision for a given statistical estimator, and subsequently a transformed version thereof, in the context of independent competing risks affecting a common shape-parameter Weibull system. Validity of the initial estimator is demonstrated for a single population, and the result then extended to encompass multiple populations of different ages. Under certain non-stringent conditions, both the single- and multi-population initial estimators are proved to be unbiased. An analytical approach to determining confidence intervals for these quantities is also proposed, and shown to provide highly accurate characterisations of estimator precision. The transformed estimator is then considered, with some amount of bias shown to occur. However, the levels of bias are found to decay rapidly as the failure dataset increases in size. Delta method confidence intervals are constructed and shown to provide excellent characterisations of estimator deviations. Application of these concepts to enhance rolling bearing service life analyses is demonstrated, including consideration of methodological limitations. The advances made regarding independent competing risks in common shape-parameter Weibull systems hold in general, hence, are expected to have broader reliability applications.
Druh dokumentu: Article
Popis souboru: text
ISSN: 1558-1721
0018-9529
DOI: 10.1109/tr.2024.3458173
Rights: IEEE Copyright
CC BY
Přístupové číslo: edsair.doi.dedup.....06d14fa0a818857f28a545880c6a8f06
Databáze: OpenAIRE
Popis
Abstrakt:This paper re-evaluates, formalises and extends a previously proposed methodology for enhancing the specificity of bearing life analysis based on field failure data. The central research problem is demonstrated to relate to characterising validity, accuracy and precision for a given statistical estimator, and subsequently a transformed version thereof, in the context of independent competing risks affecting a common shape-parameter Weibull system. Validity of the initial estimator is demonstrated for a single population, and the result then extended to encompass multiple populations of different ages. Under certain non-stringent conditions, both the single- and multi-population initial estimators are proved to be unbiased. An analytical approach to determining confidence intervals for these quantities is also proposed, and shown to provide highly accurate characterisations of estimator precision. The transformed estimator is then considered, with some amount of bias shown to occur. However, the levels of bias are found to decay rapidly as the failure dataset increases in size. Delta method confidence intervals are constructed and shown to provide excellent characterisations of estimator deviations. Application of these concepts to enhance rolling bearing service life analyses is demonstrated, including consideration of methodological limitations. The advances made regarding independent competing risks in common shape-parameter Weibull systems hold in general, hence, are expected to have broader reliability applications.
ISSN:15581721
00189529
DOI:10.1109/tr.2024.3458173