Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/18271
Title: Experimental study on impact-induced damage detection using an improved extended Kalman filter
Authors: Lei, Y
Lai, Z
Zhu, S 
Zhang, XH
Keywords: Extended Kalman filter
Impact-induced damage
Real-time damage detection
Time-variant system
Issue Date: 2014
Publisher: World Scientific
Source: International journal of structural stability and dynamics, 2014, v. 14, no. 5, 1440007 How to cite?
Journal: International journal of structural stability and dynamics 
Abstract: This paper presents an experimental study on using an improved extended Kalman filter (EKF) to identify impact-induced structural damage. By introducing the optimization of estimated residual error into the classical EKF, this real-time approach demonstrates an excellent capability to identify the abrupt changes of structural parameters instantly and accurately. The optimization procedure is activated when a prescribed threshold is exceeded. A shaking table test of a three-story steel frame subjected to abrupt damage induced by impact load was conducted to validate the improved EKF approach. The results clearly reveal its improved performance and good anti-noise ability in identifying time-variant structural parameters.
URI: http://hdl.handle.net/10397/18271
ISSN: 0219-4554
EISSN: 1793-6764
DOI: 10.1142/S0219455414400070
Appears in Collections:Conference Paper

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

1
Last Week
0
Last month
0
Citations as of Dec 1, 2017

WEB OF SCIENCETM
Citations

1
Last Week
0
Last month
0
Citations as of Dec 13, 2017

Page view(s)

48
Last Week
2
Last month
Checked on Dec 11, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.