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Reliability prediction of helicopter transmission systems using stress–strength interference with underlying damage accumulation.

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Title: Reliability prediction of helicopter transmission systems using stress–strength interference with underlying damage accumulation.
Authors: Place, C. S.1, Strutt, J. E.1, Allsopp, K.1, Irving, P. E.1, Trille, C.1
Source: Quality & Reliability Engineering International. Mar1999, Vol. 15 Issue 2, p69-78. 10p. 5 Diagrams, 1 Chart, 3 Graphs.
Subjects: Reliability in engineering, Helicopter transportation, Strains & stresses (Mechanics), Material fatigue, Fatigue testing machines
Abstract: This paper describes research into the development of reliability prediction models for rotor transmission systems in which component failure is caused by underlying aging processes such as fatigue, wear or corrosion. Reliability prediction is based on the stress–strength interference methodology, with stress related to surface damage and strength to the limit of allowable damage. The paper describes how damage accumulation and system failure logic is incorporated within the stress and strength functions. For fatigue-dominated processes, damage grows with number of cycles in response to applied load and environmental conditions. The concept of ‘operating state’ is used to model statistical damage accumulation. Operating states describe load and lubrication conditions and associated statistical damage accumulation rate parameters. Growth rate variance is related to operating state transitions and can be modelled using stochastic techniques. Fatigue strength is obtained from S–N data. Formulated in this way, reliability can be predicted from design and operational parameters rather than historical failure data. Copyright © 1999 John Wiley & Sons, Ltd. [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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DbLabel: Engineering Source
An: 13380899
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  Data: Reliability prediction of helicopter transmission systems using stress–strength interference with underlying damage accumulation.
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  Data: <searchLink fieldCode="JN" term="%22Quality+%26+Reliability+Engineering+International%22">Quality & Reliability Engineering International</searchLink>. Mar1999, Vol. 15 Issue 2, p69-78. 10p. 5 Diagrams, 1 Chart, 3 Graphs.
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  Data: <searchLink fieldCode="DE" term="%22Reliability+in+engineering%22">Reliability in engineering</searchLink><br /><searchLink fieldCode="DE" term="%22Helicopter+transportation%22">Helicopter transportation</searchLink><br /><searchLink fieldCode="DE" term="%22Strains+%26+stresses+%28Mechanics%29%22">Strains & stresses (Mechanics)</searchLink><br /><searchLink fieldCode="DE" term="%22Material+fatigue%22">Material fatigue</searchLink><br /><searchLink fieldCode="DE" term="%22Fatigue+testing+machines%22">Fatigue testing machines</searchLink>
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  Data: This paper describes research into the development of reliability prediction models for rotor transmission systems in which component failure is caused by underlying aging processes such as fatigue, wear or corrosion. Reliability prediction is based on the stress–strength interference methodology, with stress related to surface damage and strength to the limit of allowable damage. The paper describes how damage accumulation and system failure logic is incorporated within the stress and strength functions. For fatigue-dominated processes, damage grows with number of cycles in response to applied load and environmental conditions. The concept of ‘operating state’ is used to model statistical damage accumulation. Operating states describe load and lubrication conditions and associated statistical damage accumulation rate parameters. Growth rate variance is related to operating state transitions and can be modelled using stochastic techniques. Fatigue strength is obtained from S–N data. Formulated in this way, reliability can be predicted from design and operational parameters rather than historical failure data. Copyright © 1999 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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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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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1002/(SICI)1099-1638(199903/04)15:2<69::AID-QRE232>3.0.CO;2-#
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 10
        StartPage: 69
    Subjects:
      – SubjectFull: Reliability in engineering
        Type: general
      – SubjectFull: Helicopter transportation
        Type: general
      – SubjectFull: Strains & stresses (Mechanics)
        Type: general
      – SubjectFull: Material fatigue
        Type: general
      – SubjectFull: Fatigue testing machines
        Type: general
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      – TitleFull: Reliability prediction of helicopter transmission systems using stress–strength interference with underlying damage accumulation.
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            NameFull: Place, C. S.
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            NameFull: Strutt, J. E.
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            NameFull: Allsopp, K.
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            NameFull: Irving, P. E.
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              Text: Mar1999
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              Y: 1999
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