Published June 2016 | Version v1
Journal article

Imprecise system reliability and component importance based on survival signature

  • 1. Institute for Risk and Uncertainty, School of Engineering, University of Liverpool, Liverpool (United Kingdom)
  • 2. School of Civil Engineering & Shanghai Institute of Disaster Prevention and Relief, Tongji University (China)
  • 3. Institute for Computer Science in Civil Engineering, Leibniz University Hannover (Germany)
  • 4. Department of Mathematical Sciences, Durham University, Durham (United Kingdom)

Description

The concept of the survival signature has recently attracted increasing attention for performing reliability analysis on systems with multiple types of components. It opens a new pathway for a structured approach with high computational efficiency based on a complete probabilistic description of the system. In practical applications, however, some of the parameters of the system might not be defined completely due to limited data, which implies the need to take imprecisions of component specifications into account. This paper presents a methodology to include explicitly the imprecision, which leads to upper and lower bounds of the survival function of the system. In addition, the approach introduces novel and efficient component importance measures. By implementing relative importance index of each component without or with imprecision, the most critical component in the system can be identified depending on the service time of the system. Simulation method based on survival signature is introduced to deal with imprecision within components, which is precise and efficient. Numerical example is presented to show the applicability of the approach for systems. - Highlights: • Survival signature is a novel way for system reliability and component importance • High computational efficiency based on a complete description of system. • Include explicitly the imprecision, which leads to bounds of the survival function. • A novel relative importance index is proposed as importance measure. • Allows to identify critical components depending on the service time of the system.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.ress.2016.01.019

Additional details

Identifiers

DOI
10.1016/j.ress.2016.01.019;
PII
S0951-8320(16)00028-4;

Publishing Information

Journal Title
Reliability Engineering and System Safety
Journal Volume
150
Journal Page Range
p. 116-125
ISSN
0951-8320
CODEN
RESSEP

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
48005058
Subject category
S42: ENGINEERING;
Descriptors DEI
COMPUTERIZED SIMULATION; EFFICIENCY; INSPECTION; PROBABILISTIC ESTIMATION; RELIABILITY; SENSITIVITY ANALYSIS; SERVICE LIFE; SPECIFICATIONS
Descriptors DEC
CALCULATION METHODS; LIFETIME; SIMULATION

Optional Information

Copyright
Copyright (c) 2016 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.