Improving the Reliability Performance for Radar System Based on Rayleigh Distribution

El-Faheem, Adel A.; Mustafa, Abdelfattah; El-Hafeez, Tasnem Abd

doi:10.1016/j.sciaf.2022.e01290

Cited by 3 publications

(2 citation statements)

References 8 publications

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“…In their study, they calculated two REFs and determined fractiles, finding that, in a specific numerical example, the cold duplication technique provided the best results. El-Faheem et al (2022) obtained REFs for a radar system consisting of three units, having Rayleigh distribution with two parameters. A novel approach was used by Etminan et al (2023) to compute a closed form of 𝜌 in the system where the reduction method is applied to a single component.…”

Section: Introductionmentioning

confidence: 99%

Reliability Equivalence Factors for Coherent System using Survival Signature

Chopra,

2024

Int. j. math. eng. manag. sci.

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This study presents a methodology aimed at enhancing the performance of coherent systems through the application of survival signature analysis, focusing on the calculation of reliability equivalence factors (REFs). In the context of system improvement, the selection of reliability improvement strategies, such as reduction and duplication, depends on various factors like space limitations, costs, and other constraints. The importance of REF lies in their ability to quantify the extent of reliability improvement, providing a clear metric for decision-makers to assess the cost-effectiveness of various enhancement strategies. The analysis focuses on two distinct types of REFs, namely, mean reliability equivalence factors (MREFs) and survival reliability equivalence factors (SREFs), targeted at reliability enhancement via strategies including component failure rate reduction and the implementation of warm standby duplication. Both perfect and imperfect switching scenarios in warm duplication are examined, with survival signature analysis applied to determine the system's survival function and mean time to failure (MTTF). The methodology's effectiveness is illustrated through a case study of a six-unit bridge system, where the components are modeled using exponential and Weibull distributions. REFs are evaluated for sequential upgrades in either individual components or entire component types. The study also conducts a comparative analysis between the reliability and MTTF of the original and improved systems across different improvement techniques.

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Section: Introductionmentioning

confidence: 99%

Reliability Equivalence Factors for Coherent System using Survival Signature

Chopra,

2024

Int. j. math. eng. manag. sci.

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“…Conversely, Sarhan [16] investigated a system featuring a bridge network component consisting of five items, all exhibiting constant failure rates. In another study, Sarhan and Mustafa [17] delved into a reliability evaluation framework (REF) for a set of "n" identically and independently distributed (i.i.d) components, each with constant failure rates interconnected in a series configuration; for more details, see [18][19][20][21][22]. In the realm of energy efficiency optimization, Xia et al [23] utilized the concept of series-parallel systems.…”

Section: Introductionmentioning

confidence: 99%

Reliability Assessment of Bridge Structure Using Bilal Distribution

Ramadan,

Alamri,

Tolba

2024

Mathematics

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Reliability assessments are pivotal in evaluating system quality and have found extensive application in manufacturing. This research delves into a system comprising five components, one of which is a bridge network. The components are presumed to follow a Bilal lifetime distribution with a failure rate that changes over time. Four distinct methods are employed to enhance the components within the system. This study involves the computation of δ-fractiles and reliability equivalence factors (REFs). Additionally, a numerical case study is provided to elucidate the theoretical findings.

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