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Lookup NU author(s): Omar Bouzid, Professor Gui Yun TianORCiD, Dr Kanapathippillai Cumanan
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
Structural health monitoring (SHM) is important for reducing the maintenance and operation cost of safety-critical components and systems in offshore wind turbines. This paper proposes an in situ wireless SHM system based on an acoustic emission (AE) technique. By using this technique a number of challenges are introduced due to high sampling rate requirements, limitations in the communication bandwidth, memory space, and power resources. To overcome these challenges, this paper focused on two elements: (1) the use of an in situ wireless SHM technique in conjunction with the utilization of low sampling rates; (2) localization of acoustic sources which could emulate impact damage or audible cracks caused by different objects, such as tools, bird strikes, or strong hail, all of which represent abrupt AE events and could affect the structural health of a monitored wind turbine blade. The localization process is performed using features extracted from aliased AE signals based on a developed constraint localization model. To validate the performance of these elements, the proposed system was tested by testing the localization of the emulated AE sources acquired in the field.
Author(s): Bouzid OM, Tian GY, Cumanan K, Moore D
Publication type: Article
Publication status: Published
Journal: Journal of Sensors
Year: 2015
Volume: 2015
Print publication date: 01/01/2015
Acceptance date: 15/12/2014
Date deposited: 18/09/2015
ISSN (print): 1687-725X
ISSN (electronic): 1687-7268
Publisher: Hindawi Publishing Corporation
URL: http://dx.doi.org/10.1155/2015/139695
DOI: 10.1155/2015/139695
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