We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Multi-system reliability trend analysis model using incomplete data with application to tank maintenance.
- Authors
Na, Il Yong; Chang, Woojin
- Abstract
This paper focuses on the estimation of power law type reliability trend analysis model given incomplete failure data from multiple homogeneous machines. In many real situations, we encounter data having missing parts especially in the initial recording stage, so-called left censored data. We provide a method to estimate the failure intensity function of power law process using left censored data from multiple machines. The method consists of two folds: initially estimate parameters via the law of large numbers theory and revise the estimated parameters recursively through the EM algorithm. The validity of our method is confirmed by simulation experiments. We also apply our method to the real-world case, Korean ARMY tank maintenance data, and show that our proposed method is applicable to practical maintenance planning.
- Subjects
MATHEMATICAL models; PROBABILITY theory; SUPPORT vector machines; COMPUTER simulation; DECISION making
- Publication
Quality & Reliability Engineering International, 2017, Vol 33, Issue 8, p2385
- ISSN
0748-8017
- Publication type
Article
- DOI
10.1002/qre.2196