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Transformer-ultrasonic synchronised rotating sensor for detection of drum shaft defects.

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Title: Transformer-ultrasonic synchronised rotating sensor for detection of drum shaft defects.
Authors: Li, Jiale1 (AUTHOR), Wei, Yanlong1 (AUTHOR) 18636136726@163.com, Zhang, Junhua1 (AUTHOR), Liang, Haijian2 (AUTHOR), Mu, Xiaofang1 (AUTHOR), Qi, Xiaobo1 (AUTHOR), Qi, Hui1 (AUTHOR)
Source: Nondestructive Testing & Evaluation. Nov2025, Vol. 40 Issue 11, p5123-5144. 22p.
Subjects: Electromagnetic induction, Ultrasonic measurement, Real-time computing, Rotors, High resolution imaging, Rotating machinery, Fault diagnosis
Abstract: This study presents a novel defect detection system that combines transformer technology with ultrasonic synchronous rotation in drum shafts. Based on electromagnetic induction, a piezoelectric sensor is driven by the transformer's secondary pulse signal to enable synchronised transmission of both transformer and ultrasonic guided waves as the drum shaft rotates. This integration improves the accuracy and reliability of defect detection. The design process centres on optimising transformer coupling efficiency, ultrasonic guided wave propagation, and synchronisation mechanisms to achieve high-resolution imaging and real-time monitoring in an easy-to-operate system. The results indicate that the system effectively detects defects by analysing echo signals, locating defects through time differences, and functions well within rotating equipment. [ABSTRACT FROM AUTHOR]
Copyright of Nondestructive Testing & Evaluation is the property of Taylor & Francis Ltd 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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Header DbId: egs
DbLabel: Engineering Source
An: 188804889
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PubType: Academic Journal
PubTypeId: academicJournal
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  Label: Title
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  Data: Transformer-ultrasonic synchronised rotating sensor for detection of drum shaft defects.
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  Data: <searchLink fieldCode="AR" term="%22Li%2C+Jiale%22">Li, Jiale</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wei%2C+Yanlong%22">Wei, Yanlong</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> 18636136726@163.com</i><br /><searchLink fieldCode="AR" term="%22Zhang%2C+Junhua%22">Zhang, Junhua</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liang%2C+Haijian%22">Liang, Haijian</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mu%2C+Xiaofang%22">Mu, Xiaofang</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Qi%2C+Xiaobo%22">Qi, Xiaobo</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Qi%2C+Hui%22">Qi, Hui</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Nondestructive+Testing+%26+Evaluation%22">Nondestructive Testing & Evaluation</searchLink>. Nov2025, Vol. 40 Issue 11, p5123-5144. 22p.
– Name: Subject
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  Data: <searchLink fieldCode="DE" term="%22Electromagnetic+induction%22">Electromagnetic induction</searchLink><br /><searchLink fieldCode="DE" term="%22Ultrasonic+measurement%22">Ultrasonic measurement</searchLink><br /><searchLink fieldCode="DE" term="%22Real-time+computing%22">Real-time computing</searchLink><br /><searchLink fieldCode="DE" term="%22Rotors%22">Rotors</searchLink><br /><searchLink fieldCode="DE" term="%22High+resolution+imaging%22">High resolution imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Rotating+machinery%22">Rotating machinery</searchLink><br /><searchLink fieldCode="DE" term="%22Fault+diagnosis%22">Fault diagnosis</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This study presents a novel defect detection system that combines transformer technology with ultrasonic synchronous rotation in drum shafts. Based on electromagnetic induction, a piezoelectric sensor is driven by the transformer's secondary pulse signal to enable synchronised transmission of both transformer and ultrasonic guided waves as the drum shaft rotates. This integration improves the accuracy and reliability of defect detection. The design process centres on optimising transformer coupling efficiency, ultrasonic guided wave propagation, and synchronisation mechanisms to achieve high-resolution imaging and real-time monitoring in an easy-to-operate system. The results indicate that the system effectively detects defects by analysing echo signals, locating defects through time differences, and functions well within rotating equipment. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Nondestructive Testing & Evaluation is the property of Taylor & Francis Ltd 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: 10.1080/10589759.2024.2437484
    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 22
        StartPage: 5123
    Subjects:
      – SubjectFull: Electromagnetic induction
        Type: general
      – SubjectFull: Ultrasonic measurement
        Type: general
      – SubjectFull: Real-time computing
        Type: general
      – SubjectFull: Rotors
        Type: general
      – SubjectFull: High resolution imaging
        Type: general
      – SubjectFull: Rotating machinery
        Type: general
      – SubjectFull: Fault diagnosis
        Type: general
    Titles:
      – TitleFull: Transformer-ultrasonic synchronised rotating sensor for detection of drum shaft defects.
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      – PersonEntity:
          Name:
            NameFull: Li, Jiale
      – PersonEntity:
          Name:
            NameFull: Wei, Yanlong
      – PersonEntity:
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            NameFull: Zhang, Junhua
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            NameFull: Liang, Haijian
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            NameFull: Mu, Xiaofang
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            NameFull: Qi, Xiaobo
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            NameFull: Qi, Hui
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            – D: 01
              M: 11
              Text: Nov2025
              Type: published
              Y: 2025
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              Value: 40
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