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Optimal Maintenance Policy of Repairable System with Bathtub Shaped Intenstiy

Title
Optimal Maintenance Policy of Repairable System with Bathtub Shaped Intenstiy
Author
배석주
Keywords
Maximum likelihood estimation; Approximation methods; Maintenance engineering; Genetic algorithms; Testing; Software reliability
Issue Date
2011-11
Publisher
IEEE
Citation
Institute of Electrical and Electronics Engineers, 2011, P.431-435
Abstract
The power law process (PLP) and log linear process (LLP) are able to describe the processes with monotonic trend during the operating time. However, these models are not able to describe the processes with a non-monotonic trend such as bathtub shaped intensity. In this paper we proposed the superposed log linear process (S-LLP) for modeling bathtub shaped intensity function. The S-LLP is a nonhomogeneous Poisson process (NHPP) that results from the superposition of two LLP with different parameters. To get the maximum likelihood (ML) estimates, we proposed the three-parameter log-likelihood function evaluated using a genetic algorithm. Also, to obtain approximated confidence intervals, the information matrix and the variance-covariance matrix have been evaluated. The suggested methods are applied to field data from a repairable system.
URI
http://ieeexplore.ieee.org.access.hanyang.ac.kr/document/5976646/http://hdl.handle.net/20.500.11754/54852
ISBN
978-1-4577-1229-6; 978-1-4577-1231-9; 978-1-4577-1232-6
DOI
10.1109/ICQR2MSE.2011.5976646
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > INDUSTRIAL ENGINEERING(산업공학과) > Articles
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