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Proceedings Paper

Automated real-time structure health monitoring via signature pattern recognition
Author(s): Fanping P. Sun; Zaffir A. Chaudhry; Craig A. Rogers; M. Majmundar; Chen Liang
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Paper Abstract

Described in this paper are the details of an automated real-time structure health monitoring system. The system is based on structural signature pattern recognition. It uses an array of piezoceramic patches bonded to the structure as integrated sensor-actuators, an electric impedance analyzer for structural frequency response function acquisition and a PC for control and graphic display. An assembled 3-bay truss structure is employed as a test bed. Two issues, the localization of sensing area and the sensor temperature drift, which are critical for the success of this technique are addressed and a novel approach of providing temperature compensation using probability correlation function is presented. Due to the negligible weight and size of the solid-state sensor array and its ability to sense incipient-type damage, the system can eventually be implemented on many types of structures such as aircraft, spacecraft, large-span dome roof and steel bridges requiring multilocation and real-time health monitoring.

Paper Details

Date Published: 8 May 1995
PDF: 12 pages
Proc. SPIE 2443, Smart Structures and Materials 1995: Smart Structures and Integrated Systems, (8 May 1995); doi: 10.1117/12.208261
Show Author Affiliations
Fanping P. Sun, Virginia Polytechnic Institute and State Univ. (United States)
Zaffir A. Chaudhry, Virginia Polytechnic Institute and State Univ. (United States)
Craig A. Rogers, Virginia Polytechnic Institute and State Univ. (United States)
M. Majmundar, Virginia Polytechnic Institute and State Univ. (United States)
Chen Liang, San Diego State Univ. (United States)


Published in SPIE Proceedings Vol. 2443:
Smart Structures and Materials 1995: Smart Structures and Integrated Systems
Inderjit Chopra, Editor(s)

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