Modal Identification from Ambient Responses using Frequency Domain Decomposition

Rune Brincker, L. Zhang, P. Andersen

    Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

    1083 Citations (Scopus)
    4356 Downloads (Pure)

    Abstract

    In this paper a new frequency domain technique is introduced for the modal identification from ambient responses, ie. in the case where the modal parameters must be estimated without knowing the input exciting the system. By its user friendliness the technique is closely related to the classical approach where the modal parameters are estimated by simple peak picking. However, by introducing a decomposition of the spectral density function matrix, the response can be separated into a set of single degree of freedom systems, each corresponding to an individual mode. By using this decomposition technique close modes can he identified with high accuracy even in the case of strong noise contamination of the signals.
    Original languageEnglish
    Title of host publicationIMAC 18 : Proceedings of the International Modal Analysis Conference (IMAC), San Antonio, Texas, USA, February 7-10, 2000
    Number of pages6
    Publication date2000
    Pages625-630
    Publication statusPublished - 2000
    EventThe International Modal Analysis Conference - San Antonio, Texas, United States
    Duration: 7 Feb 200010 Feb 2000
    Conference number: 18

    Conference

    ConferenceThe International Modal Analysis Conference
    Number18
    Country/TerritoryUnited States
    CitySan Antonio, Texas
    Period07/02/200010/02/2000

    Keywords

    • Modal Identification
    • Ambient Respons Analysis
    • Modal Parameters
    • Basic Frequency Domain Tecnique
    • BFD
    • Peak Picking Technique
    • Frequency Domain Decomposition

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