Reliability analysis of a nonlinear rotor/stator contact system in the presence of aleatory and epistemic uncertainty.

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Title: Reliability analysis of a nonlinear rotor/stator contact system in the presence of aleatory and epistemic uncertainty.
Authors: Yang, Lechang1 yanglechang@126.com, He, Ketai1, Guo, Yanling2
Source: Journal of Mechanical Science & Technology. Sep2018, Vol. 32 Issue 9, p4089-4101. 13p.
Subjects: Reliability in engineering, Mechanical engineering, Rotating machinery, Monte Carlo method, Vibration (Mechanics)
Abstract: On the basis of an overview of the global responses of a nonlinear Jeffcott rotor/stator contact model, the system reliability was evaluated subject to mixed aleatory-epistemic uncertainty. We used a likelihood-based approach for reliability modeling and analysis. In the context of uncertainty quantification, some advanced Bayesian techniques were adopted to reduce the computation cost in traditional Monte Carlo method. The parameters’ effects on reliability were studied, incorporating both rotor physical background and inherent uncertain factors. This framework could be applied in the field of industrial manufacturing & mounting, risk assessment, product maintaining and benefit rotary machines from design phase to operation stage. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Mechanical Science & Technology is the property of Springer Nature 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.)
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  Data: <searchLink fieldCode="AR" term="%22Yang%2C+Lechang%22">Yang, Lechang</searchLink><relatesTo>1</relatesTo><i> yanglechang@126.com</i><br /><searchLink fieldCode="AR" term="%22He%2C+Ketai%22">He, Ketai</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Guo%2C+Yanling%22">Guo, Yanling</searchLink><relatesTo>2</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Mechanical+Science+%26+Technology%22">Journal of Mechanical Science & Technology</searchLink>. Sep2018, Vol. 32 Issue 9, p4089-4101. 13p.
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  Data: <searchLink fieldCode="DE" term="%22Reliability+in+engineering%22">Reliability in engineering</searchLink><br /><searchLink fieldCode="DE" term="%22Mechanical+engineering%22">Mechanical engineering</searchLink><br /><searchLink fieldCode="DE" term="%22Rotating+machinery%22">Rotating machinery</searchLink><br /><searchLink fieldCode="DE" term="%22Monte+Carlo+method%22">Monte Carlo method</searchLink><br /><searchLink fieldCode="DE" term="%22Vibration+%28Mechanics%29%22">Vibration (Mechanics)</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: On the basis of an overview of the global responses of a nonlinear Jeffcott rotor/stator contact model, the system reliability was evaluated subject to mixed aleatory-epistemic uncertainty. We used a likelihood-based approach for reliability modeling and analysis. In the context of uncertainty quantification, some advanced Bayesian techniques were adopted to reduce the computation cost in traditional Monte Carlo method. The parameters’ effects on reliability were studied, incorporating both rotor physical background and inherent uncertain factors. This framework could be applied in the field of industrial manufacturing & mounting, risk assessment, product maintaining and benefit rotary machines from design phase to operation stage. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of Journal of Mechanical Science & Technology is the property of Springer Nature 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: 10.1007/s12206-018-0808-2
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        Text: English
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      – SubjectFull: Reliability in engineering
        Type: general
      – SubjectFull: Mechanical engineering
        Type: general
      – SubjectFull: Rotating machinery
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      – SubjectFull: Monte Carlo method
        Type: general
      – SubjectFull: Vibration (Mechanics)
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      – TitleFull: Reliability analysis of a nonlinear rotor/stator contact system in the presence of aleatory and epistemic uncertainty.
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              M: 09
              Text: Sep2018
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              Y: 2018
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