Modal Parameter Identification from Output Data Only: Equivalent Approaches
The problem of modal parameter identification from output data only is presented. To identify the modal parameters different algorithms are presented: the block Hankel matrix and its shifted version and the block observability and block controllability matrices and their shifted version. These algor...
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| Format: | Article |
| Language: | English |
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Wiley
2015-01-01
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| Series: | Shock and Vibration |
| Online Access: | http://dx.doi.org/10.1155/2015/124932 |
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| _version_ | 1832551747469443072 |
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| author | Joseph Lardies |
| author_facet | Joseph Lardies |
| author_sort | Joseph Lardies |
| collection | DOAJ |
| description | The problem of modal parameter identification from output data only is presented. To identify the modal parameters different algorithms are presented: the block Hankel matrix and its shifted version and the block observability and block controllability matrices and their shifted version. These algorithms are derived from properties of the subspace approach. It is shown in the paper that these algorithms give the same results even in the noisy data case. Numerical and experimental results are presented showing the effectiveness of the procedure. In particular a microsystem constituted of a perforated microplate is analysed. |
| format | Article |
| id | doaj-art-8bc3a6f77a2c4dfcbe9789e8a80ed085 |
| institution | Kabale University |
| issn | 1070-9622 1875-9203 |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Shock and Vibration |
| spelling | doaj-art-8bc3a6f77a2c4dfcbe9789e8a80ed0852025-02-03T06:00:42ZengWileyShock and Vibration1070-96221875-92032015-01-01201510.1155/2015/124932124932Modal Parameter Identification from Output Data Only: Equivalent ApproachesJoseph Lardies0Institute FEMTO-ST, UMR 6174, Department of Applied Mechanics (DMA), University of Franche-Comté, 25 000 Besançon, FranceThe problem of modal parameter identification from output data only is presented. To identify the modal parameters different algorithms are presented: the block Hankel matrix and its shifted version and the block observability and block controllability matrices and their shifted version. These algorithms are derived from properties of the subspace approach. It is shown in the paper that these algorithms give the same results even in the noisy data case. Numerical and experimental results are presented showing the effectiveness of the procedure. In particular a microsystem constituted of a perforated microplate is analysed.http://dx.doi.org/10.1155/2015/124932 |
| spellingShingle | Joseph Lardies Modal Parameter Identification from Output Data Only: Equivalent Approaches Shock and Vibration |
| title | Modal Parameter Identification from Output Data Only: Equivalent Approaches |
| title_full | Modal Parameter Identification from Output Data Only: Equivalent Approaches |
| title_fullStr | Modal Parameter Identification from Output Data Only: Equivalent Approaches |
| title_full_unstemmed | Modal Parameter Identification from Output Data Only: Equivalent Approaches |
| title_short | Modal Parameter Identification from Output Data Only: Equivalent Approaches |
| title_sort | modal parameter identification from output data only equivalent approaches |
| url | http://dx.doi.org/10.1155/2015/124932 |
| work_keys_str_mv | AT josephlardies modalparameteridentificationfromoutputdataonlyequivalentapproaches |