Mathematical formulation and numerical treatment based on transition frequency densities and quadrature methods for non-homogeneous semi-Markov processes-Reference-Cited by-同舟云学术

Mathematical formulation and numerical treatment based on transition frequency densities and quadrature methods for non-homogeneous semi-Markov processes

Published:2009-02 Issue:2 Volume:94 Page:342-349
ISSN:0951-8320
Container-title:Reliability Engineering & System Safety
language:en
Short-container-title:Reliability Engineering & System Safety

Author:

Moura Márcio das Chagas,Droguett Enrique López

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality

Reference21 articles.

1. Nonparametric reliability estimation of semi-Markov processes;Ouhbi;J Stat Planning Inference,2003

2. Semi-Markov models with an application to power-plant reliability analysis;Perman;IEEE Trans Reliab,1997

3. Dependability analysis of semi-Markov systems;Limnios;Reliab Eng Syst Saf,1997

4. Reliability estimation of semi-Markov systems: a case study;Ouhbi;Reliab Eng Syst Saf,1997

5. The rate of occurrence of failures for semi-Markov processes and estimation;Ouhbi;Stat Prob Lett,2002

Cited by 25 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A comparative study of numerical methods for reliability assessment based on semi-Markov processes;Reliability Engineering & System Safety;2024-12

2. On a Mixed Transient–Asymptotic Result for the Sequential Interval Reliability for Semi-Markov Chains;Mathematics;2024-06-13

3. A semi-Markovian approach to evaluate the availability of low voltage direct current systems with integrated battery storage;Reliability Engineering & System Safety;2024-03

4. A Quantitative Availability Analysis of Industrial DC Microgrids;2023 IEEE Fifth International Conference on DC Microgrids (ICDCM);2023-11-15

5. Physics-informed deep learning: A promising technique for system reliability assessment;Applied Soft Computing;2022-09