RELIABILITY PREDICTION OF PIPES AND VALVES.

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Bibliographic Details
Title: RELIABILITY PREDICTION OF PIPES AND VALVES.
Authors: Strutt, J. E.1, Allsopp, K.1, Ouchet, L.1
Source: Quality & Reliability Engineering International. Mar/Apr95, Vol. 11 Issue 2, p91-100. 10p.
Subjects: Valves, Pipe, Reliability in engineering, Engineering inspection, Materials testing, Industrial engineering
Abstract: A methodology for predicting the reliability of pipes and valves and for assessing the impact of testing and inspection policy on the safe life of a component is described. The method is based on the stress-strength interference model and enables a combination of physical models and engineering experience to be used to estimate means, variances and associated uncertainties in the life of a component. Particular attention is paid to modelling failures arising from underlying degradation processes. Bayesian routines are used to update the model parameters and to reduce uncertainties using inspection, monitoring or test data. The paper describes the principles of the method together with examples related to subsea gate valves and pipelines. [ABSTRACT FROM AUTHOR]
Copyright of Quality & Reliability Engineering International is the property of Wiley-Blackwell 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. (Copyright applies to all Abstracts.)
Database: Engineering Source
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: RELIABILITY PREDICTION OF PIPES AND VALVES.
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  Data: <searchLink fieldCode="AR" term="%22Strutt%2C+J%2E+E%2E%22">Strutt, J. E.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Allsopp%2C+K%2E%22">Allsopp, K.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Ouchet%2C+L%2E%22">Ouchet, L.</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Quality+%26+Reliability+Engineering+International%22">Quality & Reliability Engineering International</searchLink>. Mar/Apr95, Vol. 11 Issue 2, p91-100. 10p.
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  Data: <searchLink fieldCode="DE" term="%22Valves%22">Valves</searchLink><br /><searchLink fieldCode="DE" term="%22Pipe%22">Pipe</searchLink><br /><searchLink fieldCode="DE" term="%22Reliability+in+engineering%22">Reliability in engineering</searchLink><br /><searchLink fieldCode="DE" term="%22Engineering+inspection%22">Engineering inspection</searchLink><br /><searchLink fieldCode="DE" term="%22Materials+testing%22">Materials testing</searchLink><br /><searchLink fieldCode="DE" term="%22Industrial+engineering%22">Industrial engineering</searchLink>
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  Label: Abstract
  Group: Ab
  Data: A methodology for predicting the reliability of pipes and valves and for assessing the impact of testing and inspection policy on the safe life of a component is described. The method is based on the stress-strength interference model and enables a combination of physical models and engineering experience to be used to estimate means, variances and associated uncertainties in the life of a component. Particular attention is paid to modelling failures arising from underlying degradation processes. Bayesian routines are used to update the model parameters and to reduce uncertainties using inspection, monitoring or test data. The paper describes the principles of the method together with examples related to subsea gate valves and pipelines. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Quality & Reliability Engineering International is the property of Wiley-Blackwell 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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        Value: 10.1002/qre.4680110204
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        Text: English
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        PageCount: 10
        StartPage: 91
    Subjects:
      – SubjectFull: Valves
        Type: general
      – SubjectFull: Pipe
        Type: general
      – SubjectFull: Reliability in engineering
        Type: general
      – SubjectFull: Engineering inspection
        Type: general
      – SubjectFull: Materials testing
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      – SubjectFull: Industrial engineering
        Type: general
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      – TitleFull: RELIABILITY PREDICTION OF PIPES AND VALVES.
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              Text: Mar/Apr95
              Type: published
              Y: 1995
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