Published December 2021 | Version v1
Journal article

Reliability evaluation of a k-out-of-n(G)-subsystem based multi-state phased mission system with common bus performance sharing subjected to common cause failures

  • 1. Beijing Institute of Electronic System Engineering, Beijing 100854 (China)
  • 2. School of Reliability and Systems Engineering, Beihang University, Beijing 100191 (China)

Description

Highlights: • Both CCF and k-out-of-n(G) subsystems are considered in the MS-PMS system model. • A novel BIUGF method is established by an indicator variable and a pointer vector. • Two examples are given to show the implementation of the proposed method. • Results of examples show CCF has significant impact on the system reliability. Multi-state phased mission systems (MS-PMSs) with common bus performance sharing widely exist in practice. Their subsystems are often designed as redundant k-out-of-n(G) systems to ensure the reliable operation of the whole system, such as power generating systems. However, common cause failures (CCFs) of components can decrease the reliability of such redundant subsystems. Considering the above two factors, we propose a new reliability model for the MS-PMS with k-out-of-n(G) subsystems and performance sharing subject to CCFs. Each subsystem contains multiple multi-state components, whose behaviors are analyzed using the Markov chain. Components in each subsystem may belong to a CCF group, and each CCF group suffers multiple independent CCF modes. We propose a Binary Indicator Universal Generating Function (BIUGF) method to evaluate the system reliability by adding an indicator variable and a pointer vector in the traditional universal generating function method, and the impacts of CCFs are taken into account using an implicit analysis method. The method is illustrated and validated through applications to power supply systems, which justify the effectiveness of the proposed method.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.ress.2021.108003

Additional details

Identifiers

DOI
10.1016/j.ress.2021.108003;
PII
S0951832021005135;

Publishing Information

Journal Title
Reliability Engineering and System Safety
Journal Volume
216
Journal Page Range
vp.
ISSN
0951-8320
CODEN
RESSEP

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
54018444
Subject category
S97: MATHEMATICAL METHODS AND COMPUTING; S42: ENGINEERING;
Descriptors DEI
DESIGN; MARKOV PROCESS; PERFORMANCE; VECTORS
Descriptors DEC
STOCHASTIC PROCESSES; TENSORS

Optional Information

Copyright
Copyright (c) 2021 Elsevier Ltd. All rights reserved.