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Content Provider | IEEE Xplore Digital Library |
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Author | Van der Auweraer, H. Peeters, B. |
Copyright Year | 2004 |
Description | Author affiliation: LMS Int., Leuven, Belgium (Van der Auweraer, H.; Peeters, B.) |
Abstract | System identification from measured MIMO data plays a crucial role in structural dynamics and vibro-acoustic system optimization. The most popular modeling approach is based on the i modal analysis concept, leading to an interpretation in terms of visualized eigenmodes. Typically, the number of nodes is very high (often over 100), including modes with high damping and high modal overlap. The paper discusses a key problem of the system identification process: the selection of the correct model order and related to this, the selection of valid system poles. A multi-order approach, followed by a heuristic selection process is outlined. A visual representation of the pole behavior is presented and the possible routes to automation are discussed. The process is illustrated with typical complex datasets, including full-scale industrial tests. |
Sponsorship | IEEE Instrumentation and Measurement Soc |
Starting Page | 2193 |
Ending Page | 2198 |
File Size | 420344 |
Page Count | 6 |
File Format | |
ISBN | 078038248X |
ISSN | 10915281 |
DOI | 10.1109/IMTC.2004.1351525 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2004-05-18 |
Publisher Place | Italy |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Automation System identification Modal analysis Vibrations Damping Noise measurement Resonance Resonant frequency Size measurement Noise reduction |
Content Type | Text |
Resource Type | Article |
Subject | Instrumentation Electrical and Electronic Engineering |
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