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A new spatial three-channel homologous information fusion method based on two-dimensional full vector spectrum and its application.

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Title: A new spatial three-channel homologous information fusion method based on two-dimensional full vector spectrum and its application.
Authors: Zhang, HaiBo1 2559496013@qq.com
Source: Journal of Vibroengineering. Jun2026, Vol. 28 Issue 4, p853-868. 16p.
Subjects: Rotor vibration, Coordinate transformations, Vibration measurements, Multisensor data fusion, Feature extraction, Fault diagnosis, Spectrum analysis
Abstract: The two-dimensional full vector spectrum method is based on dual-channel homologous information fusion, which can only obtain the planar cross-section vibration information of a monitoring point. However, rotor vibration occurs in three-dimensional space, and it is impossible to describe the rotor's vibration conditions in three-dimensional space using only two mutually perpendicular dual-channels. Besides, this limitation may easily lead to the omission of key fault-feature information and result in misdiagnosis. A spatial three-channel homologous information fusion method is proposed to address the above issues. Firstly, the method proves that the rotor's spatial vortex trajectory remains elliptical in three-dimensional space. Subsequently, the transformation from the spatial coordinate system to the two-dimensional plane coordinate system is achieved through quadratic coordinate transformation, and a specific mapping relationship between any point in the spatial coordinate system and its corresponding point in the two-dimensional plane coordinate system is established. Finally, based on the theory and calculation principle of the two-dimensional full vector spectrum, the extraction of spatial three-dimensional full vector spectrum feature vectors is achieved. The superiority of the spatial three-dimensional full vector spectrum over the two-dimensional full vector spectrum is verified through simulation and experiment. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Vibroengineering is the property of Extrica 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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  Data: A new spatial three-channel homologous information fusion method based on two-dimensional full vector spectrum and its application.
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  Data: <searchLink fieldCode="AR" term="%22Zhang%2C+HaiBo%22">Zhang, HaiBo</searchLink><relatesTo>1</relatesTo><i> 2559496013@qq.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Vibroengineering%22">Journal of Vibroengineering</searchLink>. Jun2026, Vol. 28 Issue 4, p853-868. 16p.
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  Data: <searchLink fieldCode="DE" term="%22Rotor+vibration%22">Rotor vibration</searchLink><br /><searchLink fieldCode="DE" term="%22Coordinate+transformations%22">Coordinate transformations</searchLink><br /><searchLink fieldCode="DE" term="%22Vibration+measurements%22">Vibration measurements</searchLink><br /><searchLink fieldCode="DE" term="%22Multisensor+data+fusion%22">Multisensor data fusion</searchLink><br /><searchLink fieldCode="DE" term="%22Feature+extraction%22">Feature extraction</searchLink><br /><searchLink fieldCode="DE" term="%22Fault+diagnosis%22">Fault diagnosis</searchLink><br /><searchLink fieldCode="DE" term="%22Spectrum+analysis%22">Spectrum analysis</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: The two-dimensional full vector spectrum method is based on dual-channel homologous information fusion, which can only obtain the planar cross-section vibration information of a monitoring point. However, rotor vibration occurs in three-dimensional space, and it is impossible to describe the rotor's vibration conditions in three-dimensional space using only two mutually perpendicular dual-channels. Besides, this limitation may easily lead to the omission of key fault-feature information and result in misdiagnosis. A spatial three-channel homologous information fusion method is proposed to address the above issues. Firstly, the method proves that the rotor's spatial vortex trajectory remains elliptical in three-dimensional space. Subsequently, the transformation from the spatial coordinate system to the two-dimensional plane coordinate system is achieved through quadratic coordinate transformation, and a specific mapping relationship between any point in the spatial coordinate system and its corresponding point in the two-dimensional plane coordinate system is established. Finally, based on the theory and calculation principle of the two-dimensional full vector spectrum, the extraction of spatial three-dimensional full vector spectrum feature vectors is achieved. The superiority of the spatial three-dimensional full vector spectrum over the two-dimensional full vector spectrum is verified through simulation and experiment. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Vibroengineering is the property of Extrica 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: 10.21595/jve.2026.25840
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      – Code: eng
        Text: English
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        PageCount: 16
        StartPage: 853
    Subjects:
      – SubjectFull: Rotor vibration
        Type: general
      – SubjectFull: Coordinate transformations
        Type: general
      – SubjectFull: Vibration measurements
        Type: general
      – SubjectFull: Multisensor data fusion
        Type: general
      – SubjectFull: Feature extraction
        Type: general
      – SubjectFull: Fault diagnosis
        Type: general
      – SubjectFull: Spectrum analysis
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              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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