Published March 2007 | Version v1
Journal article

Modeling imperfectly repaired system data via grey differential equations with unequal-gapped times

Creators

  • 1. Department of Statistical Sciences, University of Cape Town, Private Bag, Rhodes' Gift, Rondebosh 7701, Cape Town (South Africa)

Description

In this paper, we argue that grey differential equation models are useful in repairable system modeling. The arguments starts with the review on GM(1,1) model with equal- and unequal-spaced stopping time sequence. In terms of two-stage GM(1,1) filtering, system stopping time can be partitioned into system intrinsic function and repair effect. Furthermore, we propose an approach to use grey differential equation to specify a semi-statistical membership function for system intrinsic function times. Also, we engage an effort to use GM(1,N) model to model system stopping times and the associated operating covariates and propose an unequal-gapped GM(1,N) model for such analysis. Finally, we investigate the GM(1,1)-embed systematic grey equation system modeling of imperfectly repaired system operating data. Practical examples are given in step-by-step manner to illustrate the grey differential equation modeling of repairable system data

Additional details

Identifiers

DOI
10.1016/j.ress.2006.04.009;
PII
S0951-8320(06)00104-9;

Publishing Information

Journal Title
Reliability Engineering and System Safety
Journal Volume
92
Journal Issue
3
Journal Page Range
p. 378-391
ISSN
0951-8320
CODEN
RESSEP

Conference

Title
4. international conference on quality and reliability
Acronym
ICQR2005
Dates
9-11 Aug 2005
Place
Beijing (China)

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
38013167
Subject category
S99: GENERAL AND MISCELLANEOUS;
Resource subtype / Literary indicator
Conference
Descriptors DEI
DIFFERENTIAL EQUATIONS; FUNCTIONS; REPAIR; SIMULATION
Descriptors DEC
EQUATIONS

Optional Information

Copyright
Copyright (c) 2006 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.