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Uncertainty-involved evaluation of real-time lubrication states in tilting pad thrust bearings.

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Title: Uncertainty-involved evaluation of real-time lubrication states in tilting pad thrust bearings.
Authors: Dou, Pan1,2 (AUTHOR) p.dou@xjtu.edu.cn, Xia, Yonggang1 (AUTHOR), Gao, Xinru1 (AUTHOR), Wu, Tonghai1 (AUTHOR) tonghai.wu@mail.xjtu.edu.cn, Yang, Peiping3 (AUTHOR), Yu, Min2 (AUTHOR), Reddyhoff, Thomas2 (AUTHOR), Lei, Yaguo1 (AUTHOR)
Source: Mechanical Systems & Signal Processing. Jun2026, Vol. 254, pN.PAG-N.PAG. 1p.
Subjects: Lubrication & lubricants, Thrust bearings, Hydrodynamic lubrication, Maximum likelihood statistics, Distribution (Probability theory), Probability density function, Friction
Abstract: Lubrication failures in tilting pad thrust bearings arise from the lubrication state degradation. Therefore, real-time evaluation of the lubrication state is critical for monitoring and prediction of lubrication failures. Traditional methods, such as those based on the Stribeck curve, have slow response times and industrial implementation challenges. In contrast, the lubricant film thickness relative to the composite roughness of two contacting surfaces, commonly referred to as the lambda ratio, provides a faster assessment of lubrication states, but it struggles to accurately identify the transition zones between different lubrication states. To address this issue, this paper presents an uncertainty-involved evaluation method of real-time lubrication states in tilting pad thrust bearings. Extensive lubrication state degradation tests are performed on a thrust pad bearing test rig. By leveraging the synchronous variation between the coefficient of friction and the lambda ratio, the maximum likelihood estimation technique is employed to establish threshold sets for the lambda ratio. Additionally, kernel density estimation is used to derive the probability distribution functions for these threshold sets. Through the integration of cumulative probability and probability assignment, a probability characterization method of lubrication states is developed and validated with experimental data, achieving 88% identification accuracy for three-stage classification and 83% overall accuracy for four-stage classification across diverse operating conditions. [ABSTRACT FROM AUTHOR]
Copyright of Mechanical Systems & Signal Processing is the property of Academic Press Inc. 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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Header DbId: egs
DbLabel: Engineering Source
An: 193865588
AccessLevel: 6
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  Label: Title
  Group: Ti
  Data: Uncertainty-involved evaluation of real-time lubrication states in tilting pad thrust bearings.
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  Data: <searchLink fieldCode="AR" term="%22Dou%2C+Pan%22">Dou, Pan</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> p.dou@xjtu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Xia%2C+Yonggang%22">Xia, Yonggang</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gao%2C+Xinru%22">Gao, Xinru</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wu%2C+Tonghai%22">Wu, Tonghai</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> tonghai.wu@mail.xjtu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Yang%2C+Peiping%22">Yang, Peiping</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yu%2C+Min%22">Yu, Min</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Reddyhoff%2C+Thomas%22">Reddyhoff, Thomas</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lei%2C+Yaguo%22">Lei, Yaguo</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Mechanical+Systems+%26+Signal+Processing%22">Mechanical Systems & Signal Processing</searchLink>. Jun2026, Vol. 254, pN.PAG-N.PAG. 1p.
– Name: Subject
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  Data: <searchLink fieldCode="DE" term="%22Lubrication+%26+lubricants%22">Lubrication & lubricants</searchLink><br /><searchLink fieldCode="DE" term="%22Thrust+bearings%22">Thrust bearings</searchLink><br /><searchLink fieldCode="DE" term="%22Hydrodynamic+lubrication%22">Hydrodynamic lubrication</searchLink><br /><searchLink fieldCode="DE" term="%22Maximum+likelihood+statistics%22">Maximum likelihood statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Distribution+%28Probability+theory%29%22">Distribution (Probability theory)</searchLink><br /><searchLink fieldCode="DE" term="%22Probability+density+function%22">Probability density function</searchLink><br /><searchLink fieldCode="DE" term="%22Friction%22">Friction</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Lubrication failures in tilting pad thrust bearings arise from the lubrication state degradation. Therefore, real-time evaluation of the lubrication state is critical for monitoring and prediction of lubrication failures. Traditional methods, such as those based on the Stribeck curve, have slow response times and industrial implementation challenges. In contrast, the lubricant film thickness relative to the composite roughness of two contacting surfaces, commonly referred to as the lambda ratio, provides a faster assessment of lubrication states, but it struggles to accurately identify the transition zones between different lubrication states. To address this issue, this paper presents an uncertainty-involved evaluation method of real-time lubrication states in tilting pad thrust bearings. Extensive lubrication state degradation tests are performed on a thrust pad bearing test rig. By leveraging the synchronous variation between the coefficient of friction and the lambda ratio, the maximum likelihood estimation technique is employed to establish threshold sets for the lambda ratio. Additionally, kernel density estimation is used to derive the probability distribution functions for these threshold sets. Through the integration of cumulative probability and probability assignment, a probability characterization method of lubrication states is developed and validated with experimental data, achieving 88% identification accuracy for three-stage classification and 83% overall accuracy for four-stage classification across diverse operating conditions. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Mechanical Systems & Signal Processing is the property of Academic Press Inc. 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: 10.1016/j.ymssp.2026.114352
    Languages:
      – Code: eng
        Text: English
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        PageCount: 1
        StartPage: N.PAG
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      – SubjectFull: Lubrication & lubricants
        Type: general
      – SubjectFull: Thrust bearings
        Type: general
      – SubjectFull: Hydrodynamic lubrication
        Type: general
      – SubjectFull: Maximum likelihood statistics
        Type: general
      – SubjectFull: Distribution (Probability theory)
        Type: general
      – SubjectFull: Probability density function
        Type: general
      – SubjectFull: Friction
        Type: general
    Titles:
      – TitleFull: Uncertainty-involved evaluation of real-time lubrication states in tilting pad thrust bearings.
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      – PersonEntity:
          Name:
            NameFull: Dou, Pan
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            NameFull: Xia, Yonggang
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            NameFull: Gao, Xinru
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            NameFull: Wu, Tonghai
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            NameFull: Yang, Peiping
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          Dates:
            – D: 15
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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              Value: 254
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            – TitleFull: Mechanical Systems & Signal Processing
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