التفاصيل البيبلوغرافية
| العنوان: |
A model for failure-time data with two dependent failure modes and prediction of future failures. |
| المؤلفون: |
Agrawal, Aakash1 (AUTHOR), Mitra, Debanjan2 (AUTHOR) debanjan.mitra@iimu.ac.in, Ganguly, Ayon3 (AUTHOR) |
| المصدر: |
Quality Engineering. 2025, Vol. 37 Issue 1, p1-14. 14p. |
| مصطلحات موضوعية: |
*MONTE Carlo method, *RELIABILITY in engineering, *BAYESIAN analysis, *DATA analysis, FAILURE mode & effects analysis |
| مستخلص: |
Often in reliability studies we observe failure-time data with two dependent failure modes. In this article, by using a bivariate Weibull model with distinct shape parameters, we present a model for reliability data with two dependent failure modes. Inferential methods for the proposed model are discussed. The efficacy of the methods of inference is assessed through a Monte Carlo simulation study, and it is observed that the model and methods perform satisfactorily. An issue of practical interest for reliability engineers is to predict field failures at a future time. Prediction methods are developed in this setting. For illustrative purposes, analysis of a real dataset on failure of a device is presented. In summary, the model and methods presented in this article provide a comprehensive treatment for analyzing reliability data with two dependent failure modes. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
Business Source Index |