Published September 2018 | Version v1
Journal article

Optimal imperfect maintenance cost analysis of a two-component system with failure interactions

  • 1. ICD-LM2S, Université de Technologie de Troyes, Troyes (France)
  • 2. Norwegian University of Science and Technology, Trondheim (Norway)

Description

Highlights: • Maintenance policy analysis. • Two component system with stochastic dependency. • Imperfect maintenance and virtual age model. • Non constant Failure rate and Accumulative damage. This paper considers a two-component system with failure interactions. Component 1 is repairable and component 2 is non repairable and is subject to an increasing degradation. One considers two different shock models. In model 1, component 1 failure causes random gradual damages to component 2 and increases its degradation level. In model 2, component 1 failure may cause the failure of component 2 with a given probability while the failure of component 2 is catastrophic and induces the failure of the whole system. For each model, three maintenance policies are proposed. In each policy, component 1 undergoes imperfect corrective maintenance actions and component 2 is perfectly repaired. An explicit expression of the long run average maintenance cost is developed and the existence of the optimal policy is discussed. Numerical examples are given to illustrate the effectiveness of the proposed models.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.ress.2018.04.019

Additional details

Identifiers

DOI
10.1016/j.ress.2018.04.019;
PII
S095183201730409X;

Publishing Information

Journal Title
Reliability Engineering and System Safety
Journal Volume
177
Journal Page Range
p. 24-34
ISSN
0951-8320
CODEN
RESSEP

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
52112414
Subject category
S42: ENGINEERING;
Descriptors DEI
AUGMENTATION; COST; DAMAGE; FAILURES; INTERACTIONS; MAINTENANCE; OPTIMIZATION; RANDOMNESS; REPAIR; STOCHASTIC PROCESSES

Optional Information

Copyright
Copyright (c) 2018 Elsevier Ltd. All rights reserved.