ENHANCING SENSITIVITY OF MTTF AND NETWORK RELIABILITY STABILITY OF K-OUT-OF-N ACYCLIC TRANSMISSION NETWORK

Networks are used in many areas of engineering, including computers and communication, transportation and electric transmission. Component importance measures are applicable to improve the system design. The reliability characteristics of k-out-of-n acyclic transmission network have been evaluated using universal generating function (UGF). This paper explores and analyses Mean Time To Failure(MTTF), Birnbaum importance measurement, critical component importance, component risk growth factor, average risk growth factor and MTTF sensitivity for acyclic transmission network. Finally, The stability illustrates the impact of component failure on the reliability of the network system. The network reliability stability for acyclic transmission network is computed. In this work, we have evaluated reliability characteristics and of the acyclic transmission network using UGF method. The network reliability stability for k-out-of-n acyclic transmission network is computed. Furthermore, numerical illustrations are provided.

Publication Details

Journal
cyberleninka.ru
Published
2025-01-01
DOI
https://doi.org/10.24412/1932-2321-2025-284-52-66
Citations
1
Primary Topic
Reliability and Maintenance Optimization
Type
article
Field-Weighted Citation Impact
1.30
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article

ENHANCING SENSITIVITY OF MTTF AND NETWORK RELIABILITY STABILITY OF K-OUT-OF-N ACYCLIC TRANSMISSION NETWORK

1 citations
cyberleninka.ru
Reliability and Maintenance Optimization
1.30
article

ENHANCING SENSITIVITY OF MTTF AND NETWORK RELIABILITY STABILITY OF K-OUT-OF-N ACYCLIC TRANSMISSION NETWORK

article en
1 citations

Abstract

Networks are used in many areas of engineering, including computers and communication, transportation and electric transmission. Component importance measures are applicable to improve the system design. The reliability characteristics of k-out-of-n acyclic transmission network have been evaluated using universal generating function (UGF). This paper explores and analyses Mean Time To Failure(MTTF), Birnbaum importance measurement, critical component importance, component risk growth factor, average risk growth factor and MTTF sensitivity for acyclic transmission network. Finally, The stability illustrates the impact of component failure on the reliability of the network system. The network reliability stability for acyclic transmission network is computed. In this work, we have evaluated reliability characteristics and of the acyclic transmission network using UGF method. The network reliability stability for k-out-of-n acyclic transmission network is computed. Furthermore, numerical illustrations are provided.

cyberleninka.ru
Openalex Percentile: Top 15%
Reliability and Maintenance Optimization
1.30
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ENHANCING SENSITIVITY OF MTTF AND NETWORK RELIABILITY STABILITY OF K-OUT-OF-N ACYCLIC TRANSMISSION NETWORK · cyberleninka.ru (2025) | TGRS Research Map | TGRS