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Virtual visual sensors and their application in structural health monitoring

Song, Yi-Zhe, Bowen, C.R., Kim, A.H., Nassehi, A., Padget, J. and Gathercole, N. (2014) Virtual visual sensors and their application in structural health monitoring Structural Health Monitoring, 13 (3). pp. 251-264.

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Wireless sensor networks are being increasingly accepted as an effective tool for structural health monitoring. The ability to deploy a wireless array of sensors efficiently and effectively is a key factor in structural health monitoring. Sensor installation and management can be difficult in practice for a variety of reasons: a hostile environment, high labour costs and bandwidth limitations. We present and evaluate a proof-of-concept application of virtual visual sensors to the well-known engineering problem of the cantilever beam, as a convenient physical sensor substitute for certain problems and environments. We demonstrate the effectiveness of virtual visual sensors as a means to achieve non-destructive evaluation. Major benefits of virtual visual sensors are its non-invasive nature, ease of installation and cost-effectiveness. The novelty of virtual visual sensors lies in the combination of marker extraction with visual tracking realised by modern computer vision algorithms. We demonstrate that by deploying a collection of virtual visual sensors on an oscillating structure, its modal shapes and frequencies can be readily extracted from a sequence of video images. Subsequently, we perform damage detection and localisation by means of a wavelet-based analysis. The contributions of this article are as follows: (1) use of a sub-pixel accuracy marker extraction algorithm to construct virtual sensors in the spatial domain, (2) embedding dynamic marker linking within a tracking-by-correspondence paradigm that offers benefits in computational efficiency and registration accuracy over traditional tracking-by-searching systems and (3) validation of virtual visual sensors in the context of a structural health monitoring application.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
Bowen, C.R.
Kim, A.H.
Nassehi, A.
Padget, J.
Gathercole, N.
Date : 1 May 2014
Funders : Leverhulme Trust
DOI : 10.1177/1475921714522841
Grant Title : Formal techniques for sensor network design, management and optimisation
Uncontrolled Keywords : Computer vision; Non-destructive damage detection; Structural health monitoring; Wavelets
Depositing User : Clive Harris
Date Deposited : 30 Jul 2019 08:47
Last Modified : 30 Jul 2019 08:47

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