DOI | Resolve DOI: https://doi.org/10.1117/12.921041 |
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Author | Search for: Mrad, Nezih; Search for: Guo, Honglei1; Search for: Xiao, Gaozhi1; Search for: Rocha, Bruno2; Search for: Sun, Zhigang3 |
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Affiliation | - National Research Council of Canada. Information and Communication Technologies
- National Research Council of Canada. Aerospace
- National Research Council of Canada. Energy, Mining and Environment
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Format | Text, Article |
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Conference | Photonic Applications for Aerospace, Transportation, and Harsh Environment III, April 23-24, 2012, Baltimore, MD, USA |
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Abstract | Structural Health Monitoring (SHM) has been identified as an area of significant potential for advanced aircraft maintenance programs that ensure continued airworthiness, enhanced operational safety and reduced life cycle cost. Several sensors and sensory systems have been developed for the implementation of such health monitoring capability. Among a wide range of developed technologies, fiber optic sensor technology, in particular fiber Bragg grating based emerged as one of the most promising for aircraft structural applications. This paper is set to explore the suitability of using a new Fiber Bragg Grating sensor (FBG) system developed for operation in two modes, low and high speed sensing modes, respectively. The suitability of the system for potential use in aircraft load monitoring and damage detection applications has been demonstrated. Results from FBG sensor system were in good agreement with results from conventional resistive strain gauges, validating this capability for load monitoring. For damage detection, the FBG sensor system was able to detect acoustic waves generated 52 inches (1.32 m) away. The initial results, obtained in a full stale experimentation, demonstrate the potential of using FBG sensors for both load monitoring and damage detection in aircraft environment. |
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Publication date | 2012-04-23 |
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In | |
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Language | English |
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Peer reviewed | Yes |
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NPARC number | 21270168 |
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Export citation | Export as RIS |
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Report a correction | Report a correction (opens in a new tab) |
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Record identifier | f8cc7498-dca8-4a88-bc42-3ecfc99e3d18 |
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Record created | 2014-01-07 |
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Record modified | 2020-04-21 |
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