Published August 2019 | Version v1
Journal article

Stochastic modeling for systems with delayed failures

  • 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.