Abstract
The objective of Structural health monitoring (SHM) is to estimate the current health state of a structure being monitored and to provide reliable information regarding the presence and severity of damage. Impedance-based damage detection technique, which utilizes the electromechanical coupling properties of piezoelectric transducers (PZTs), has been shown to be very sensitive to minor structural changes in the near field of the PZT transducers. In reality, structures are, however, subject to various environmental and operational conditions that affect measured impedance signals, and these ambient variations can often lead false alarms. To tackle of these problems, a data normalization procedure, that distinguishes structural damage from undesired ambient variations, has been developed specifically for impedance measurements. The uniqueness of this study lies in (1) the development of a new data normalization procedure based on support vector machine, (2) its application to impedance based damage detection, and (3) damage classification using novelty detection and generalized extreme value statistics. The proposed technique is applied to the data obtained from varying temperature and external loading conditions of a real composite aircraft wing. It is demonstrated that the proposed method successfully extracts the damage features from the presence of environmental and operational variations and detects damage within the complex aircraft wing.
Original language | English |
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Title of host publication | Proceedings of the 5th European Workshop - Structural Health Monitoring 2010 |
Pages | 456-461 |
Number of pages | 6 |
Publication status | Published - 1 Dec 2010 |
Externally published | Yes |
Event | 5th European Workshop on Structural Health Monitoring 2010 - Naples, Italy Duration: 28 Jun 2010 → 4 Jul 2010 |
Conference
Conference | 5th European Workshop on Structural Health Monitoring 2010 |
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Country | Italy |
City | Naples |
Period | 28/06/10 → 4/07/10 |
ASJC Scopus subject areas
- Civil and Structural Engineering
- Safety, Risk, Reliability and Quality