পদ্ধতির তুলনা করুন

	অবক্ষয় মডেল (Degradation Models)	পরিসংখ্যানভিত্তিক নির্ভরযোগ্যতা বিশ্লেষণ
ক্ষেত্র	নির্ভরযোগ্যতা	নির্ভরযোগ্যতা
পরিবার	Regression model	Regression model
উদ্ভবের বছর	1998	1998
প্রবর্তক	Meeker, Escobar & Lu	William Meeker & Luis Escobar
ধরন	Stochastic degradation path model	Parametric lifetime modeling
মৌলিক উৎস	Meeker, W. Q., Escobar, L. A., & Lu, C. J. (1998). Accelerated degradation tests: modeling and analysis. Technometrics, 40(2), 89–99.	Meeker, W. Q., & Escobar, L. A. (1998). Statistical Methods for Reliability Data. Wiley. ISBN: 978-0-471-14328-4
অপর নাম	Accelerated Degradation Testing, Degradation Path Models, Performance Degradation Analysis, Bozunma Modelleri	Life Data Analysis, Survival Analysis (Engineering), Time-to-Failure Analysis, Güvenilirlik Analizi
সম্পর্কিত	3	3
সারসংক্ষেপ	Degradation models estimate product lifetime by tracking measurable performance characteristics—such as crack length, light output, or insulation resistance—over time rather than waiting for outright failure. Introduced in rigorous form by Meeker, Escobar, and Lu (1998), these models fit a stochastic degradation path to repeated measurements and define failure as the first time the characteristic crosses a predetermined threshold, enabling reliable lifetime inference from accelerated test data with very few or no observed failures.	Statistical reliability analysis models the time-to-failure of components, systems, or products using parametric lifetime distributions fitted to observed or censored failure data. Formalized comprehensively by William Q. Meeker and Luis A. Escobar in their 1998 Wiley monograph, the framework integrates maximum likelihood estimation, censoring mechanisms, and distributional diagnostics to produce probability-of-failure curves, hazard rates, and quantile estimates that support design, warranty, and maintenance decisions.