Please use this identifier to cite or link to this item:
Title: Sensor validation in damage locating vector method for structural health monitoring
Authors: Tran, V.A.
Quek, S.T. 
Duan, W.H. 
Keywords: damage detection
damage locating vector
Faulty sensor
sensor validation
singular value decomposition
Issue Date: Feb-2011
Citation: Tran, V.A., Quek, S.T., Duan, W.H. (2011-02). Sensor validation in damage locating vector method for structural health monitoring. International Journal of Structural Stability and Dynamics 11 (1) : 149-180. ScholarBank@NUS Repository.
Abstract: The reliability of a structural health-monitoring system is very dependent on the quality of signals that are acquired and fed into the damage detection algorithm. Developed herein is an algorithm for sensor validation in the context of the damage locating vector (DLV) method for detecting damage in structures. Given the signals from ns sensors, ns combinatorial sets of signals from (ns-1) sensors are formed. For each set, the change in the flexibility matrix relative to that of the reference or undamaged structure is computed and singular value decomposition is performed to estimate the number of nonzero singular values (NZV). The set that produces the smallest NZV is associated with healthy sensors whereas sensors that do not belong to that combination are suspected to be faulty. The performance of the proposed algorithm is illustrated using both simulated and experimental data obtained from a 3D modular truss structure monitored by sensors, some of which are faulty. © 2011 World Scientific Publishing Company.
Source Title: International Journal of Structural Stability and Dynamics
ISSN: 02194554
DOI: 10.1142/S0219455411004026
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.


checked on Feb 15, 2019


checked on Feb 6, 2019

Page view(s)

checked on Jan 12, 2019

Google ScholarTM



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