Title :
Online structural damage detection using subspace estimation
Author :
Tasker, Frederick ; Dunn, Barry ; Fishe, Shalom
Author_Institution :
Swales Aerosp., Beltsville, MD, USA
Abstract :
In this article, a recently developed on-line subspace modal parameter estimation algorithm is modified for online structural damage detection. Simulations show that this method is able to detect small changes in the structural properties through an innovation vector. Experimental evaluation demonstrates that the technique accomplishes the objective of rapidly detecting the occurrence of a change in the dynamic system using multiple sensors. The time-varying behavior is captured in real-time via a graphical display of the norm of the innovation vector of the system. Details of the digital signal processor implementation and the measurement system are also presented
Keywords :
aerospace computing; aerospace control; control system analysis computing; digital simulation; fault diagnosis; recursive estimation; signal processing; state-space methods; structural engineering computing; time-varying systems; vibrations; digital signal processor; graphical display; innovation vector; measurement system; modal parameter estimation algorithm; multiple sensors; online structural damage detection; real-time; subspace estimation; time-varying behavior; Aerodynamics; Milling machines; Parameter estimation; Powders; Signal processing algorithms; Singular value decomposition; Space technology; Springs; Technological innovation; Vectors;
Conference_Titel :
Aerospace Conference, 1999. Proceedings. 1999 IEEE
Conference_Location :
Snowmass at Aspen, CO
Print_ISBN :
0-7803-5425-7
DOI :
10.1109/AERO.1999.793158