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Recognition and location of rotor–stator rub-impact failure of aircraft engine with periodicity feature of vibration signals.

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Title: Recognition and location of rotor–stator rub-impact failure of aircraft engine with periodicity feature of vibration signals.
Authors: Yu, Mingyue1 (AUTHOR) yumingyue@stu.sau.edu.cn, Wang, Pengda1 (AUTHOR), Ge, Xiangdong2 (AUTHOR), Meng, Fanzheng1 (AUTHOR)
Source: Journal of Vibration & Control. Feb2026, Vol. 32 Issue 3/4, p672-687. 16p.
Subjects: Fault diagnosis, Hilbert transform, Signal processing, Airplane motors, Friction, Mechanical vibration research, Classification algorithms
Abstract: To precisely recognize and locate a rub-impact fault of aircraft engine, an approach combining Hilbert envelope (HE), adaptive motion window (AMW), and margin factor (MF) (HE-AMW-MF) was presented. HE can reflect the change rule and tendency of vibration signals and simplify the complexity of calculation of fault diagnosis. Therefore, the paper starts with the calculation of HE of signal and takes it in place of original signal for subsequent analysis. As vibration signal caused by rub-impact fault is often accompanied by periodic impact, the paper takes advantage of the characteristic of periodic impact (collision period instead of rotation period) to adaptively determine a length and step size of motion window and exactly distills the rub-impact fault characteristics of each period. Due to the sensitivity of margin factor (MF) to the trait of wearing and impact, it is brought in to represent the fault feature information contained in signal in each motion window. Equally, mean value of all MFs is calculated and built into feature vector to reduce an interference of noise. Finally, the feature vector is combined with classification algorithms (k-nearest neighbor, KNN; support vector machine, SVM; convolutional neural network, CNN) to recognize a rub-impact fault and its location. After comparative analysis with typical method, the result indicates that the proposed HE-AMW-MF method can identify and locate the rub-impact fault more precisely, and the precision is 32.0% and 36.2%, 22.5% higher than typical comparison method. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Vibration & Control is the property of Sage Publications, 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.)
Database: Engineering Source
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Header DbId: egs
DbLabel: Engineering Source
An: 191178133
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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Items – Name: Title
  Label: Title
  Group: Ti
  Data: Recognition and location of rotor–stator rub-impact failure of aircraft engine with periodicity feature of vibration signals.
– Name: Author
  Label: Authors
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  Data: <searchLink fieldCode="AR" term="%22Yu%2C+Mingyue%22">Yu, Mingyue</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> yumingyue@stu.sau.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Wang%2C+Pengda%22">Wang, Pengda</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ge%2C+Xiangdong%22">Ge, Xiangdong</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Meng%2C+Fanzheng%22">Meng, Fanzheng</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Vibration+%26+Control%22">Journal of Vibration & Control</searchLink>. Feb2026, Vol. 32 Issue 3/4, p672-687. 16p.
– Name: Subject
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  Data: <searchLink fieldCode="DE" term="%22Fault+diagnosis%22">Fault diagnosis</searchLink><br /><searchLink fieldCode="DE" term="%22Hilbert+transform%22">Hilbert transform</searchLink><br /><searchLink fieldCode="DE" term="%22Signal+processing%22">Signal processing</searchLink><br /><searchLink fieldCode="DE" term="%22Airplane+motors%22">Airplane motors</searchLink><br /><searchLink fieldCode="DE" term="%22Friction%22">Friction</searchLink><br /><searchLink fieldCode="DE" term="%22Mechanical+vibration+research%22">Mechanical vibration research</searchLink><br /><searchLink fieldCode="DE" term="%22Classification+algorithms%22">Classification algorithms</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: To precisely recognize and locate a rub-impact fault of aircraft engine, an approach combining Hilbert envelope (HE), adaptive motion window (AMW), and margin factor (MF) (HE-AMW-MF) was presented. HE can reflect the change rule and tendency of vibration signals and simplify the complexity of calculation of fault diagnosis. Therefore, the paper starts with the calculation of HE of signal and takes it in place of original signal for subsequent analysis. As vibration signal caused by rub-impact fault is often accompanied by periodic impact, the paper takes advantage of the characteristic of periodic impact (collision period instead of rotation period) to adaptively determine a length and step size of motion window and exactly distills the rub-impact fault characteristics of each period. Due to the sensitivity of margin factor (MF) to the trait of wearing and impact, it is brought in to represent the fault feature information contained in signal in each motion window. Equally, mean value of all MFs is calculated and built into feature vector to reduce an interference of noise. Finally, the feature vector is combined with classification algorithms (k-nearest neighbor, KNN; support vector machine, SVM; convolutional neural network, CNN) to recognize a rub-impact fault and its location. After comparative analysis with typical method, the result indicates that the proposed HE-AMW-MF method can identify and locate the rub-impact fault more precisely, and the precision is 32.0% and 36.2%, 22.5% higher than typical comparison method. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Vibration & Control is the property of Sage Publications, 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: 10.1177/10775463241302544
    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 16
        StartPage: 672
    Subjects:
      – SubjectFull: Fault diagnosis
        Type: general
      – SubjectFull: Hilbert transform
        Type: general
      – SubjectFull: Signal processing
        Type: general
      – SubjectFull: Airplane motors
        Type: general
      – SubjectFull: Friction
        Type: general
      – SubjectFull: Mechanical vibration research
        Type: general
      – SubjectFull: Classification algorithms
        Type: general
    Titles:
      – TitleFull: Recognition and location of rotor–stator rub-impact failure of aircraft engine with periodicity feature of vibration signals.
        Type: main
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          Name:
            NameFull: Yu, Mingyue
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            NameFull: Wang, Pengda
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            NameFull: Ge, Xiangdong
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            NameFull: Meng, Fanzheng
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            – D: 01
              M: 02
              Text: Feb2026
              Type: published
              Y: 2026
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              Value: 32
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              Value: 3/4
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            – TitleFull: Journal of Vibration & Control
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