Practical Issues in Component Aging Analysis
Abstract
This paper examines practical issues in the statistical analysis of component aging data. These issues center on the stochastic process chosen to model component failures. The two stochastic processes examined are repair same as new, leading to a renewal process, and repair same as old, leading to a nonhomogeneous Poisson process. Under the first assumption, times between failures can treated as statistically independent observations from a stationary process. The common distribution of the times between failures is called the renewal distribution. Under the second process, the times between failures will not be independently and identically distributed, and one cannot simply fit a renewal distribution to the cumulative failure times or the times between failures. The paper illustrates how the assumption made regarding the repair process is crucial to the analysis. Besides the choice of stochastic process, other issues that are discussed include qualitative graphical analysis and simple nonparametric hypothesis tests to help judge which process appears more appropriate. Numerical examples are presented to illustrate the issues discussed in the paper.
- Authors:
- Publication Date:
- Research Org.:
- Idaho National Lab. (INL), Idaho Falls, ID (United States)
- Sponsoring Org.:
- DOE - NE
- OSTI Identifier:
- 940034
- Report Number(s):
- INL/CON-08-14536
TRN: US200823%%568
- DOE Contract Number:
- DE-AC07-99ID-13727
- Resource Type:
- Conference
- Resource Relation:
- Conference: ANS PSA 2008 Topical Meeting,Knoxville, Tennessee,09/07/2008,09/11/2008
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 99 GENERAL AND MISCELLANEOUS; AGING; DISTRIBUTION; HYPOTHESIS; REPAIR; STOCHASTIC PROCESSES; aging; failure with repair
Citation Formats
Kelly, Dana L, Rodionov, Andrei, and Uwe-Klugel, Jens. Practical Issues in Component Aging Analysis. United States: N. p., 2008.
Web.
Kelly, Dana L, Rodionov, Andrei, & Uwe-Klugel, Jens. Practical Issues in Component Aging Analysis. United States.
Kelly, Dana L, Rodionov, Andrei, and Uwe-Klugel, Jens. 2008.
"Practical Issues in Component Aging Analysis". United States. https://www.osti.gov/servlets/purl/940034.
@article{osti_940034,
title = {Practical Issues in Component Aging Analysis},
author = {Kelly, Dana L and Rodionov, Andrei and Uwe-Klugel, Jens},
abstractNote = {This paper examines practical issues in the statistical analysis of component aging data. These issues center on the stochastic process chosen to model component failures. The two stochastic processes examined are repair same as new, leading to a renewal process, and repair same as old, leading to a nonhomogeneous Poisson process. Under the first assumption, times between failures can treated as statistically independent observations from a stationary process. The common distribution of the times between failures is called the renewal distribution. Under the second process, the times between failures will not be independently and identically distributed, and one cannot simply fit a renewal distribution to the cumulative failure times or the times between failures. The paper illustrates how the assumption made regarding the repair process is crucial to the analysis. Besides the choice of stochastic process, other issues that are discussed include qualitative graphical analysis and simple nonparametric hypothesis tests to help judge which process appears more appropriate. Numerical examples are presented to illustrate the issues discussed in the paper.},
doi = {},
url = {https://www.osti.gov/biblio/940034},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Sep 01 00:00:00 EDT 2008},
month = {Mon Sep 01 00:00:00 EDT 2008}
}