Reliability analysis of weighted k-out-of-n systems with variable demand.

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Title: Reliability analysis of weighted k-out-of-n systems with variable demand.
Authors: Cook, Jason L.1 Jason.cook1.civ@mail.mil
Source: Quality Engineering. Oct-Dec2018, Vol. 30 Issue 4, p687-693. 7p.
Subjects: Statistical reliability, Redundancy in engineering, Cost functions, Computer systems, Standard deviations
Abstract: A method for determining the reliability for k-out-of-n systems with variable demand is presented. The k-out-of-n system reliability analysis assumes a system that is operational when at least k out of n components in a system is functioning. Works in this area also address systems where each component has a weight and the system has a required demand. In such, the system is functional if the sum of the weights of operational components meets the demand. This article proposes an approach to analyze the reliability of a system with functional redundancy amongst weighted components and variable demand. [ABSTRACT FROM AUTHOR]
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  Data: Reliability analysis of weighted k-out-of-n systems with variable demand.
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  Data: A method for determining the reliability for k-out-of-n systems with variable demand is presented. The k-out-of-n system reliability analysis assumes a system that is operational when at least k out of n components in a system is functioning. Works in this area also address systems where each component has a weight and the system has a required demand. In such, the system is functional if the sum of the weights of operational components meets the demand. This article proposes an approach to analyze the reliability of a system with functional redundancy amongst weighted components and variable demand. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Quality Engineering is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Type: doi
        Value: 10.1080/08982112.2018.1506132
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      – Code: eng
        Text: English
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        PageCount: 7
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    Subjects:
      – SubjectFull: Statistical reliability
        Type: general
      – SubjectFull: Redundancy in engineering
        Type: general
      – SubjectFull: Cost functions
        Type: general
      – SubjectFull: Computer systems
        Type: general
      – SubjectFull: Standard deviations
        Type: general
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      – TitleFull: Reliability analysis of weighted k-out-of-n systems with variable demand.
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              Text: Oct-Dec2018
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              Y: 2018
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