Stochastic modeling for systems with delayed failures
Creators
- 1. Department of Statistics, Ewha Womans University, Seoul, 120-750 (Korea, Republic of)
- 2. ITMO University, 49 Kronverkskiy pr., St. Petersburg, 197101 (Russian Federation)
- 3. Department of Mathematical Statistics, University of the Free State, 339 Bloemfontein 9300 (South Africa)
Description
Highlights: • Stochastic performance of repairable system with delayed failures is described. • Initial defects in a system result in its failure only after some delay. • Failure occurs when the defects are not repaired within some period of time. • The survival probabilities and the mean times to failures are derived. • Results are obtained in terms of Laplace transforms and their inversions. -- Abstract: We present stochastic description for repairable systems with delayed failures. Initial defects in a system result in its failure only after some delay. Specifically, it happens in repairable systems when the defects are not repaired within some period of time that can be either deterministic or random. Therefore, operation of a system is described by the corresponding terminating renewal process. We derive and analyze relationships for the survival probability and the mean time to failure for these systems. The results are derived in the form of the corresponding Laplace transforms that are numerically inverted for illustrative examples. Simple fast repair approximations are considered and their accuracy is also discussed.
Additional details
Identifiers
- DOI
- 10.1016/j.ress.2019.03.017;
- PII
- S0951832018311797;
Publishing Information
- Journal Title
- Reliability Engineering and System Safety
- Journal Volume
- 188
- Journal Page Range
- p. 118-124
- ISSN
- 0951-8320
- CODEN
- RESSEP
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 55017299
- Subject category
- S42: ENGINEERING;
- Descriptors DEI
- COMPUTERIZED SIMULATION; LAPLACE TRANSFORMATION; OPERATION; PERFORMANCE; RANDOMNESS; STOCHASTIC PROCESSES
- Descriptors DEC
- INTEGRAL TRANSFORMATIONS; SIMULATION; TRANSFORMATIONS
Optional Information
- Copyright
- Copyright (c) 2019 Elsevier Ltd. All rights reserved.