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Transformer‐Based Load Spectrum Compilation for Rolling Bearings.

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Title: Transformer‐Based Load Spectrum Compilation for Rolling Bearings.
Authors: Li, Ye1,2,3 (AUTHOR) liye@tit.edu.cn, Zhao, Pengfei1,2 (AUTHOR), Gu, Zhengzhao1,2 (AUTHOR), Cheng, Lixia1,3 (AUTHOR), Li, Shuai1 (AUTHOR), Sharma, Vipin (AUTHOR) vipinsharma@medicaps.ac.in
Source: Journal of Engineering (2314-4912). 10/24/2025, Vol. 2025, p1-11. 11p.
Subjects: Transformer models, Extrapolation, Durability, Roller bearings, Statistical reliability, Fatigue testing machines, Engineering firms
Abstract: Load spectra play a vital role in engineering fatigue analysis and life prediction, with accurate load extrapolation being a critical step in their development. This study introduces a novel transformer‐based load extrapolation method, marking its first application in this domain, and validates it using a rolling bearing dataset. Leveraging the transformer network's robust sequence modeling capabilities, this approach effectively captures complex load data characteristics. Compared to the traditional rainflow extrapolation method, which relies on statistical distributions, the transformer method significantly enhances prediction accuracy and robustness. Experimental results demonstrate its superior ability to predict load trends, offering a reliable tool for fatigue analysis in engineering applications. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Engineering (2314-4912) 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
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PubTypeId: academicJournal
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  Data: Transformer‐Based Load Spectrum Compilation for Rolling Bearings.
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  Data: <searchLink fieldCode="AR" term="%22Li%2C+Ye%22">Li, Ye</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<i> liye@tit.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Zhao%2C+Pengfei%22">Zhao, Pengfei</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gu%2C+Zhengzhao%22">Gu, Zhengzhao</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Cheng%2C+Lixia%22">Cheng, Lixia</searchLink><relatesTo>1,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Shuai%22">Li, Shuai</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sharma%2C+Vipin%22">Sharma, Vipin</searchLink> (AUTHOR)<i> vipinsharma@medicaps.ac.in</i>
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  Data: <searchLink fieldCode="DE" term="%22Transformer+models%22">Transformer models</searchLink><br /><searchLink fieldCode="DE" term="%22Extrapolation%22">Extrapolation</searchLink><br /><searchLink fieldCode="DE" term="%22Durability%22">Durability</searchLink><br /><searchLink fieldCode="DE" term="%22Roller+bearings%22">Roller bearings</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+reliability%22">Statistical reliability</searchLink><br /><searchLink fieldCode="DE" term="%22Fatigue+testing+machines%22">Fatigue testing machines</searchLink><br /><searchLink fieldCode="DE" term="%22Engineering+firms%22">Engineering firms</searchLink>
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  Data: Load spectra play a vital role in engineering fatigue analysis and life prediction, with accurate load extrapolation being a critical step in their development. This study introduces a novel transformer‐based load extrapolation method, marking its first application in this domain, and validates it using a rolling bearing dataset. Leveraging the transformer network's robust sequence modeling capabilities, this approach effectively captures complex load data characteristics. Compared to the traditional rainflow extrapolation method, which relies on statistical distributions, the transformer method significantly enhances prediction accuracy and robustness. Experimental results demonstrate its superior ability to predict load trends, offering a reliable tool for fatigue analysis in engineering applications. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Group: Ab
  Data: <i>Copyright of Journal of Engineering (2314-4912) 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:
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    Identifiers:
      – Type: doi
        Value: 10.1155/je/5876690
    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 11
        StartPage: 1
    Subjects:
      – SubjectFull: Transformer models
        Type: general
      – SubjectFull: Extrapolation
        Type: general
      – SubjectFull: Durability
        Type: general
      – SubjectFull: Roller bearings
        Type: general
      – SubjectFull: Statistical reliability
        Type: general
      – SubjectFull: Fatigue testing machines
        Type: general
      – SubjectFull: Engineering firms
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      – TitleFull: Transformer‐Based Load Spectrum Compilation for Rolling Bearings.
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            NameFull: Li, Ye
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            NameFull: Zhao, Pengfei
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            NameFull: Gu, Zhengzhao
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            NameFull: Cheng, Lixia
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            NameFull: Li, Shuai
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            – D: 24
              M: 10
              Text: 10/24/2025
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              Y: 2025
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              Value: 2025
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