Bispectrum analysis based on dual channel homologous information fusion and its application in fault diagnosis.
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| Title: | Bispectrum analysis based on dual channel homologous information fusion and its application in fault diagnosis. |
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| Authors: | Bangchun Chen1 3884372409@qq.com, Hongchao Wang2 hongchao1983@126.com |
| Source: | Journal of Vibroengineering. Feb2025, Vol. 27 Issue 1, p78-92. 15p. |
| Subjects: | Fault diagnosis, Vector analysis, Spectrum analysis, Couplings (Gearing), Dynamic balance (Mechanics) |
| Abstract: | High order spectrum is a powerful tool for processing the nonlinear and non-Gaussian signals of rotating machinery. As one typical representative of high order spectrum, the bispectrum analysis method has been used widely due to its advantages of low order and effective algorithm. However, traditional bispectrum analysis method based on single channel information often results in inconsistent fault feature extraction results while analyzing the phase coupling of complex vibration signals collected from two different measurement directions at the same measurement point, which will have great negative impact on subsequent rotor dynamic balancing experiment requiring phase information or fault diagnosis. The full vector spectrum analysis method based on dual channel homologous information fusion is an improved method of original two classical homologous information fusion methods (holographic spectrum and full spectrum), which could extract the dual channel fusion features while preserving the original information effectively. To overcome the shortcomings of traditional bispectrum and take advantages of full vector spectrum, a novel bispectrum analysis method based on full vector spectrum analysis is proposed. The proposed method could integrate the dual channel signal information effectively to display the secondary phase coupling comprehensively and accurately, fully reflect the nonlinear feature information contained in the signal, and provide accurate and reliable basis for feature extraction and fault diagnosis in the next step, whose effectiveness and advantage are 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 |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 183151805 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Bispectrum analysis based on dual channel homologous information fusion and its application in fault diagnosis. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Bangchun+Chen%22">Bangchun Chen</searchLink><relatesTo>1</relatesTo><i> 3884372409@qq.com</i><br /><searchLink fieldCode="AR" term="%22Hongchao+Wang%22">Hongchao Wang</searchLink><relatesTo>2</relatesTo><i> hongchao1983@126.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Vibroengineering%22">Journal of Vibroengineering</searchLink>. Feb2025, Vol. 27 Issue 1, p78-92. 15p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Fault+diagnosis%22">Fault diagnosis</searchLink><br /><searchLink fieldCode="DE" term="%22Vector+analysis%22">Vector analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Spectrum+analysis%22">Spectrum analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Couplings+%28Gearing%29%22">Couplings (Gearing)</searchLink><br /><searchLink fieldCode="DE" term="%22Dynamic+balance+%28Mechanics%29%22">Dynamic balance (Mechanics)</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: High order spectrum is a powerful tool for processing the nonlinear and non-Gaussian signals of rotating machinery. As one typical representative of high order spectrum, the bispectrum analysis method has been used widely due to its advantages of low order and effective algorithm. However, traditional bispectrum analysis method based on single channel information often results in inconsistent fault feature extraction results while analyzing the phase coupling of complex vibration signals collected from two different measurement directions at the same measurement point, which will have great negative impact on subsequent rotor dynamic balancing experiment requiring phase information or fault diagnosis. The full vector spectrum analysis method based on dual channel homologous information fusion is an improved method of original two classical homologous information fusion methods (holographic spectrum and full spectrum), which could extract the dual channel fusion features while preserving the original information effectively. To overcome the shortcomings of traditional bispectrum and take advantages of full vector spectrum, a novel bispectrum analysis method based on full vector spectrum analysis is proposed. The proposed method could integrate the dual channel signal information effectively to display the secondary phase coupling comprehensively and accurately, fully reflect the nonlinear feature information contained in the signal, and provide accurate and reliable basis for feature extraction and fault diagnosis in the next step, whose effectiveness and advantage are 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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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.21595/jve.2025.24520 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 78 Subjects: – SubjectFull: Fault diagnosis Type: general – SubjectFull: Vector analysis Type: general – SubjectFull: Spectrum analysis Type: general – SubjectFull: Couplings (Gearing) Type: general – SubjectFull: Dynamic balance (Mechanics) Type: general Titles: – TitleFull: Bispectrum analysis based on dual channel homologous information fusion and its application in fault diagnosis. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Bangchun Chen – PersonEntity: Name: NameFull: Hongchao Wang IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 02 Text: Feb2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 13928716 Numbering: – Type: volume Value: 27 – Type: issue Value: 1 Titles: – TitleFull: Journal of Vibroengineering Type: main |
| ResultId | 1 |
