An Experimental Assessment of Transverse Adaptive Fir Filters as Applied to Vibrating Structures Identification
The present work is aimed at assessing the performance of adaptive Finite Impulse Response (FIR) filters on the identification of vibrating structures. Four adaptive algorithms were used: Least Mean Squares (LMS), Normalized Least Mean Squares (NLMS), Transform-Domain Least Mean Squares (TD – LMS) a...
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| Format: | Article |
| Language: | English |
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Wiley
2005-01-01
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| Series: | Shock and Vibration |
| Online Access: | http://dx.doi.org/10.1155/2005/917832 |
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| author | Daniel A. Castello Fernando A. Rochinha |
| author_facet | Daniel A. Castello Fernando A. Rochinha |
| author_sort | Daniel A. Castello |
| collection | DOAJ |
| description | The present work is aimed at assessing the performance of adaptive Finite Impulse Response (FIR) filters on the identification of vibrating structures. Four adaptive algorithms were used: Least Mean Squares (LMS), Normalized Least Mean Squares (NLMS), Transform-Domain Least Mean Squares (TD – LMS) and Set-Membership Binormalized Data-Reusing LMS Algorithm (SM – BNDRLMS). The capability of these filters to perform the identification of vibrating structures is shown on real experiments. The first experiment consists of an aluminum cantilever beam containing piezoelectric sensors and actuators and the second one is a steel pinned-pinned beam instrumented with accelerometers and an electromechanical shaker. |
| format | Article |
| id | doaj-art-62cb09a3e66c478e8f1d28bd09c46d9a |
| institution | OA Journals |
| issn | 1070-9622 1875-9203 |
| language | English |
| publishDate | 2005-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Shock and Vibration |
| spelling | doaj-art-62cb09a3e66c478e8f1d28bd09c46d9a2025-08-20T02:35:14ZengWileyShock and Vibration1070-96221875-92032005-01-0112319721610.1155/2005/917832An Experimental Assessment of Transverse Adaptive Fir Filters as Applied to Vibrating Structures IdentificationDaniel A. Castello0Fernando A. Rochinha1Solid Mechanics Laboratory, Mechanical Engineering Department, COPPE/Federal University of Rio the Janeiro, P.O. Box 68503 – 21945-970 – Rio de Janeiro, RJ, BrazilSolid Mechanics Laboratory, Mechanical Engineering Department, COPPE/Federal University of Rio the Janeiro, P.O. Box 68503 – 21945-970 – Rio de Janeiro, RJ, BrazilThe present work is aimed at assessing the performance of adaptive Finite Impulse Response (FIR) filters on the identification of vibrating structures. Four adaptive algorithms were used: Least Mean Squares (LMS), Normalized Least Mean Squares (NLMS), Transform-Domain Least Mean Squares (TD – LMS) and Set-Membership Binormalized Data-Reusing LMS Algorithm (SM – BNDRLMS). The capability of these filters to perform the identification of vibrating structures is shown on real experiments. The first experiment consists of an aluminum cantilever beam containing piezoelectric sensors and actuators and the second one is a steel pinned-pinned beam instrumented with accelerometers and an electromechanical shaker.http://dx.doi.org/10.1155/2005/917832 |
| spellingShingle | Daniel A. Castello Fernando A. Rochinha An Experimental Assessment of Transverse Adaptive Fir Filters as Applied to Vibrating Structures Identification Shock and Vibration |
| title | An Experimental Assessment of Transverse Adaptive Fir Filters as Applied to Vibrating Structures Identification |
| title_full | An Experimental Assessment of Transverse Adaptive Fir Filters as Applied to Vibrating Structures Identification |
| title_fullStr | An Experimental Assessment of Transverse Adaptive Fir Filters as Applied to Vibrating Structures Identification |
| title_full_unstemmed | An Experimental Assessment of Transverse Adaptive Fir Filters as Applied to Vibrating Structures Identification |
| title_short | An Experimental Assessment of Transverse Adaptive Fir Filters as Applied to Vibrating Structures Identification |
| title_sort | experimental assessment of transverse adaptive fir filters as applied to vibrating structures identification |
| url | http://dx.doi.org/10.1155/2005/917832 |
| work_keys_str_mv | AT danielacastello anexperimentalassessmentoftransverseadaptivefirfiltersasappliedtovibratingstructuresidentification AT fernandoarochinha anexperimentalassessmentoftransverseadaptivefirfiltersasappliedtovibratingstructuresidentification AT danielacastello experimentalassessmentoftransverseadaptivefirfiltersasappliedtovibratingstructuresidentification AT fernandoarochinha experimentalassessmentoftransverseadaptivefirfiltersasappliedtovibratingstructuresidentification |