Published May 2018 | Version v1
Journal article

Reliability evaluation of multi-state series systems with performance sharing

  • 1. School of Mathematics, Southeast University, Nanjing 211189 (China)
  • 2. School of Mechanical Engineering, Southeast University, Nanjing 211189 (China)

Description

Highlights: • A new multi-state system with performance sharing is proposed. • The surplus performance of each unit can be shared by its adjacent units. • The entire system fails if the demand of any unit is not satisfied. • An algorithm based on the UGF technique is developed for reliability evaluation. • Analytical and numerical examples are provided to validate the proposed method. In this paper, a new reliability model for a multi-state system (MSS) with performance sharing is proposed. The MSS consists of N multi-state units connected in series. Each unit in the system has a random performance level and a random demand. If the performance of a unit exceeds its demand, the surplus performance can be transmitted to its adjacent units through intermediate transmitters. Each transmitter has a random capacity, through which only a limited amount of performance can be transmitted. The entire system fails if the demand of any unit is not satisfied. An algorithm based on the universal generating function (UGF) is developed to evaluate the reliability of the system. Analytical and numerical examples are provided to validate the proposed method. Examples show that the developed algorithm is efficient in system reliability evaluation.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.ress.2018.01.012

Additional details

Identifiers

DOI
10.1016/j.ress.2018.01.012;
PII
S0951832017305069;

Publishing Information

Journal Title
Reliability Engineering and System Safety
Journal Volume
173
Journal Page Range
p. 58-63
ISSN
0951-8320
CODEN
RESSEP

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
52112479
Subject category
S42: ENGINEERING;
Descriptors DEI
ALGORITHMS; CAPACITY; EVALUATION; PERFORMANCE; RANDOMNESS; RELIABILITY; STOCHASTIC PROCESSES
Descriptors DEC
MATHEMATICAL LOGIC

Optional Information

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