Enhancing Reliability and Availability Analysis of Active Redundant Repairable Network with Imperfect Coverage

In this research article, we present a method to formulate membership functions for a redundant repairable system with two primary components, assuming the coverage factor remains constant for operating unit failures. The α-cut method generates regular intervals from the fuzzy system based on desired characteristics. This process provides more information for management and accurately describes standard repairable systems, benefiting developers and practitioners. A numerical example demonstrates the effectiveness of this approach.

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Publication Details

Published
2024-08-10
DOI
https://doi.org/10.1109/iccccm61016.2024.11039967
Citations
3
Primary Topic
Energy Efficient Wireless Sensor Networks
Type
article
Field-Weighted Citation Impact
1.05
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article

Enhancing Reliability and Availability Analysis of Active Redundant Repairable Network with Imperfect Coverage

Amit Kumar, Khushbu Garg, Vikas Garg
3 citations
Energy Efficient Wireless Sensor Networks
1.05
article

Enhancing Reliability and Availability Analysis of Active Redundant Repairable Network with Imperfect Coverage

Amit Kumar, Khushbu Garg, Vikas Garg
article en
3 citations

Abstract

In this research article, we present a method to formulate membership functions for a redundant repairable system with two primary components, assuming the coverage factor remains constant for operating unit failures. The α-cut method generates regular intervals from the fuzzy system based on desired characteristics. This process provides more information for management and accurately describes standard repairable systems, benefiting developers and practitioners. A numerical example demonstrates the effectiveness of this approach.

Chandigarh University (IN)
Openalex Percentile: Top 20%
Energy Efficient Wireless Sensor Networks
1.05
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