Signal Sampling criteria and application of structural monitoring based on amplitude analysis.
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| Title: | Signal Sampling criteria and application of structural monitoring based on amplitude analysis. |
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| Authors: | Guangjun Hua1 hgj757@126.com, Yong Shi1 m22085600006@stu.hut.edu.cn, Wenping Tang1 522187051@qq.com, Chengji Mi1 284648680@qq.com |
| Source: | Journal of Vibroengineering. May2025, Vol. 27 Issue 3, p448-461. 14p. |
| Subjects: | Signal sampling, Fatigue cracks, Structural health monitoring, Dust removal, Methods engineering |
| Abstract: | The research explores the influence of sampling frequency on the amplitude analysis error for signals with diverse functional forms, and delineates the approach for ascertaining the optimal sampling frequency for amplitude analysis of signals under dynamic monitoring. A method for determining the sampling frequency of amplitude analysis based on the maximum error criterion is proposed through theoretical derivation of sine function and its composite forms. The correctness of the proposed method is further verified through numerical simulation analysis using MATLAB software. The results indicate that the Nyquist sampling criterion does not meet the precision requirements for amplitude analysis; the impact of odd multiples and even multiples 'sampling frequencies on the accuracy of signal amplitude analysis is different; the maximum amplitude error is closely related to the order of the signal; and the even multiples sampling frequency is more reasonable for amplitude analysis. The proposed sampling frequency determination method was applied to the construction of dust removal impact testing system and the fatigue damage analysis of a four-section boom pump truck structure, demonstrating the feasibility of this method in engineering applications. The research in this paper provides theoretical and methodological support for the economic collection and efficient processing of massive condition monitoring signals in engineering practice. [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: 185319044 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Signal Sampling criteria and application of structural monitoring based on amplitude analysis. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Guangjun+Hua%22">Guangjun Hua</searchLink><relatesTo>1</relatesTo><i> hgj757@126.com</i><br /><searchLink fieldCode="AR" term="%22Yong+Shi%22">Yong Shi</searchLink><relatesTo>1</relatesTo><i> m22085600006@stu.hut.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Wenping+Tang%22">Wenping Tang</searchLink><relatesTo>1</relatesTo><i> 522187051@qq.com</i><br /><searchLink fieldCode="AR" term="%22Chengji+Mi%22">Chengji Mi</searchLink><relatesTo>1</relatesTo><i> 284648680@qq.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Vibroengineering%22">Journal of Vibroengineering</searchLink>. May2025, Vol. 27 Issue 3, p448-461. 14p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Signal+sampling%22">Signal sampling</searchLink><br /><searchLink fieldCode="DE" term="%22Fatigue+cracks%22">Fatigue cracks</searchLink><br /><searchLink fieldCode="DE" term="%22Structural+health+monitoring%22">Structural health monitoring</searchLink><br /><searchLink fieldCode="DE" term="%22Dust+removal%22">Dust removal</searchLink><br /><searchLink fieldCode="DE" term="%22Methods+engineering%22">Methods engineering</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The research explores the influence of sampling frequency on the amplitude analysis error for signals with diverse functional forms, and delineates the approach for ascertaining the optimal sampling frequency for amplitude analysis of signals under dynamic monitoring. A method for determining the sampling frequency of amplitude analysis based on the maximum error criterion is proposed through theoretical derivation of sine function and its composite forms. The correctness of the proposed method is further verified through numerical simulation analysis using MATLAB software. The results indicate that the Nyquist sampling criterion does not meet the precision requirements for amplitude analysis; the impact of odd multiples and even multiples 'sampling frequencies on the accuracy of signal amplitude analysis is different; the maximum amplitude error is closely related to the order of the signal; and the even multiples sampling frequency is more reasonable for amplitude analysis. The proposed sampling frequency determination method was applied to the construction of dust removal impact testing system and the fatigue damage analysis of a four-section boom pump truck structure, demonstrating the feasibility of this method in engineering applications. The research in this paper provides theoretical and methodological support for the economic collection and efficient processing of massive condition monitoring signals in engineering practice. [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.2025.24531 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 448 Subjects: – SubjectFull: Signal sampling Type: general – SubjectFull: Fatigue cracks Type: general – SubjectFull: Structural health monitoring Type: general – SubjectFull: Dust removal Type: general – SubjectFull: Methods engineering Type: general Titles: – TitleFull: Signal Sampling criteria and application of structural monitoring based on amplitude analysis. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Guangjun Hua – PersonEntity: Name: NameFull: Yong Shi – PersonEntity: Name: NameFull: Wenping Tang – PersonEntity: Name: NameFull: Chengji Mi IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 13928716 Numbering: – Type: volume Value: 27 – Type: issue Value: 3 Titles: – TitleFull: Journal of Vibroengineering Type: main |
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