SMOOTHING THE TIME-FREQUENCY REPRESENTATIONS TO IMPROVE THE DIAGNOSIS FOR ENGINEERING STRUCTURES.
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| Title: | SMOOTHING THE TIME-FREQUENCY REPRESENTATIONS TO IMPROVE THE DIAGNOSIS FOR ENGINEERING STRUCTURES. |
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| Authors: | Minda, Andrea Amalia1, Paun, Lucian1, Burtea, Daniela Giorgiana1, Gillich, Gilbert-Rainer1 |
| Source: | Annals of 'Constantin Brancusi' University of Targu-Jiu. Engineering Series / Analele Universităţii Constantin Brâncuşi din Târgu-Jiu. Seria Inginerie. 2021, Issue 1, p9-14. 6p. |
| Subjects: | Structural engineering, Distribution (Probability theory), Diagnosis, Signal processing |
| Abstract: | This paper proposes an original method for improving the time-frequency representation for signals dedicated to structural diagnostics. The proposed method smooths the time-frequency representation by decreasing the false amplitudes indicated by lateral lobes. It also permits withdrawing information in the time-frequency representation that occurs if bilinear distribution functions are involved in the analysis. Along with the description of the method, we present examples for a complex signal, composed of two sinusoids. This method allows observing the evolution of the frequencies in time, which proves its efficiency in the theory of analysis and diagnosis of signals. [ABSTRACT FROM AUTHOR] |
| Copyright of Annals of 'Constantin Brancusi' University of Targu-Jiu. Engineering Series / Analele Universităţii Constantin Brâncuşi din Târgu-Jiu. Seria Inginerie is the property of Universitatea Constantin Brancusi din Targu-Jiu 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: 152751045 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: SMOOTHING THE TIME-FREQUENCY REPRESENTATIONS TO IMPROVE THE DIAGNOSIS FOR ENGINEERING STRUCTURES. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Minda%2C+Andrea+Amalia%22">Minda, Andrea Amalia</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Paun%2C+Lucian%22">Paun, Lucian</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Burtea%2C+Daniela+Giorgiana%22">Burtea, Daniela Giorgiana</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Gillich%2C+Gilbert-Rainer%22">Gillich, Gilbert-Rainer</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Annals+of+'Constantin+Brancusi'+University+of+Targu-Jiu%2E+Engineering+Series+%2F+Analele+Universităţii+Constantin+Brâncuşi+din+Târgu-Jiu%2E+Seria+Inginerie%22">Annals of 'Constantin Brancusi' University of Targu-Jiu. Engineering Series / Analele Universităţii Constantin Brâncuşi din Târgu-Jiu. Seria Inginerie</searchLink>. 2021, Issue 1, p9-14. 6p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Structural+engineering%22">Structural engineering</searchLink><br /><searchLink fieldCode="DE" term="%22Distribution+%28Probability+theory%29%22">Distribution (Probability theory)</searchLink><br /><searchLink fieldCode="DE" term="%22Diagnosis%22">Diagnosis</searchLink><br /><searchLink fieldCode="DE" term="%22Signal+processing%22">Signal processing</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This paper proposes an original method for improving the time-frequency representation for signals dedicated to structural diagnostics. The proposed method smooths the time-frequency representation by decreasing the false amplitudes indicated by lateral lobes. It also permits withdrawing information in the time-frequency representation that occurs if bilinear distribution functions are involved in the analysis. Along with the description of the method, we present examples for a complex signal, composed of two sinusoids. This method allows observing the evolution of the frequencies in time, which proves its efficiency in the theory of analysis and diagnosis of signals. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Annals of 'Constantin Brancusi' University of Targu-Jiu. Engineering Series / Analele Universităţii Constantin Brâncuşi din Târgu-Jiu. Seria Inginerie is the property of Universitatea Constantin Brancusi din Targu-Jiu 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: Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 6 StartPage: 9 Subjects: – SubjectFull: Structural engineering Type: general – SubjectFull: Distribution (Probability theory) Type: general – SubjectFull: Diagnosis Type: general – SubjectFull: Signal processing Type: general Titles: – TitleFull: SMOOTHING THE TIME-FREQUENCY REPRESENTATIONS TO IMPROVE THE DIAGNOSIS FOR ENGINEERING STRUCTURES. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Minda, Andrea Amalia – PersonEntity: Name: NameFull: Paun, Lucian – PersonEntity: Name: NameFull: Burtea, Daniela Giorgiana – PersonEntity: Name: NameFull: Gillich, Gilbert-Rainer IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: 2021 Type: published Y: 2021 Identifiers: – Type: issn-print Value: 18424856 Numbering: – Type: issue Value: 1 Titles: – TitleFull: Annals of 'Constantin Brancusi' University of Targu-Jiu. Engineering Series / Analele Universităţii Constantin Brâncuşi din Târgu-Jiu. Seria Inginerie Type: main |
| ResultId | 1 |