NDLI: Comparative Study of Output-Based Modal Identification Methods Using Measured Signals From an Offshore Platform

Content Provider	The American Society of Mechanical Engineers (ASME) Digital Collection
Author	Wang, S. Q. Zhang, Y. T. Feng, Y. X.
Copyright Year	2010
Abstract	Research on vibration based damage identification using changes of modal parameters has been expanding rapidly over the last decades. And modal parameter identification methods are essentially important since these parameters directly affect the damage detection results. Many modal identification methods have been proposed and further verified based on numerical and laboratory data. However, few papers are reported on comparative investigation of several output-only modal identification methods, especially based on measured signals from offshore platform in service. The main objective of the present paper is to investigate the effectiveness and applicability of several output-only modal identification methods, including Ibrahim Time Domain(ITD), Eigensystem Realization Algorithm(ERA), Auto-Regressive Moving Average method(ARMA) and Stochastic Subspace Identification(SSI) methods. First the four modal identification methods are briefly reviewed. Field measurements are conducted and vibration signals are recorded for modal identification. The effectiveness is compared for the four identification methods. Useful results could be obtained.
Sponsorship	Ocean, Offshore and Arctic Engineering Division
Starting Page	561
Ending Page	567
Page Count	7
File Format	PDF
ISBN	9780791849101
DOI	10.1115/OMAE2010-20771
e-ISBN	9780791838730
Volume Number	29th International Conference on Ocean, Offshore and Arctic Engineering: Volume 2
Conference Proceedings	ASME 2010 29th International Conference on Ocean, Offshore and Arctic Engineering
Language	English
Publisher Date	2010-06-06
Publisher Place	Shanghai, China
Access Restriction	Subscribed
Subject Keyword	Eigenvalues Signals Vibration Algorithms Damage Offshore platforms
Content Type	Text
Resource Type	Article

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