Structural Health Monitoring of Wind Turbine Blades: Acoustic Source Localization Using Wireless Sensor Networks
Joint Authors
Cumanan, Kanapathippillai
Moore, David
Bouzid, O. M.
Tian, Gui Yun
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-07-27
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Bouzid, O. M.& Tian, Gui Yun& Cumanan, Kanapathippillai& Moore, David. 2015. Structural Health Monitoring of Wind Turbine Blades: Acoustic Source Localization Using Wireless Sensor Networks. Journal of Sensors،Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1070064
Modern Language Association (MLA)
Bouzid, O. M.…[et al.]. Structural Health Monitoring of Wind Turbine Blades: Acoustic Source Localization Using Wireless Sensor Networks. Journal of Sensors No. 2015 (2015), pp.1-11.
https://search.emarefa.net/detail/BIM-1070064
American Medical Association (AMA)
Bouzid, O. M.& Tian, Gui Yun& Cumanan, Kanapathippillai& Moore, David. Structural Health Monitoring of Wind Turbine Blades: Acoustic Source Localization Using Wireless Sensor Networks. Journal of Sensors. 2015. Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1070064
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1070064