Reliability Evaluation for a Multi-State System Under Stress-Strength Setup
Loading...

Date
2011
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Taylor & Francis inc
Open Access Color
Green Open Access
No
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
Abstract
The two most commonly used reliability models in engineering applications are binary k-out-of-n:G and consecutive k-out-of-n:G systems. Multi-state k-out-of-n:G and multi-state consecutive k-out-of-n:G systems have been proposed as an extension of these systems and they have been found to be more flexible tool for modeling engineering systems. In this article, multi-state systems, in particular, multi-state k-out-of-n:G and multi-state consecutive k-out-of-n:G, are considered in a stress-strength setup. The states of the system are classified considering the number of components whose strengths above (below) the multiple stresses available in an environment. The exact state probabilities are provided and the results are illustrated for various stress-strength distributions. Maximum likelihood estimators of state probabilities are also presented.
Description
Keywords
Exponential distribution, Maximum likelihood estimate, Multi-state k-out-of-n:G system, Order statistics, Pareto distribution, Stress-strength reliability, Maximum likelihood estimate, Exponential distribution, Multi-state k-out-of-n:G system, Stress-strength reliability, Pareto distribution, Order statistics
Fields of Science
0211 other engineering and technologies, 02 engineering and technology, 0101 mathematics, 01 natural sciences
Citation
WoS Q
Q3
Scopus Q
Q2

OpenCitations Citation Count
31
Source
Communications in Statistics - Theory and Methods
Volume
40
Issue
3
Start Page
547
End Page
558
PlumX Metrics
Citations
CrossRef : 31
Scopus : 30
Captures
Mendeley Readers : 4
Google Scholar™


