2003
DOI: 10.1117/12.484061
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Online detection method for transient waves applied to continuous health monitoring of carbon-fiber-reinforced polymer composites with embedded optical fibers

Abstract: It has been proven that the embedment of optical fibers into a composite material could offer an alternative to robust piezoelectric transducers used for Acoustic Emission (AE) monitoring. In this configuration optical fibers are used as intensity-modulated sensors. A set of propagating elastic waves is generated whenever damage occurs in the composite material. These waves locally modify the optical and geometrical properties of the optical fiber and hence can be detected by them as a transient signal that mo… Show more

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Cited by 5 publications
(6 citation statements)
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“…In order to detect these changes a segmentation of the discrete time signal and processing in the frequency domain are carried out. There are numerous motivations (Papy et al, 2003) for this choice:…”
Section: Transient Online Detection Algorithmmentioning
confidence: 99%
See 2 more Smart Citations
“…In order to detect these changes a segmentation of the discrete time signal and processing in the frequency domain are carried out. There are numerous motivations (Papy et al, 2003) for this choice:…”
Section: Transient Online Detection Algorithmmentioning
confidence: 99%
“…Consequently, the detection of transient signals cannot be achieved by only applying a simple thresholding method to the raw signal whether it is in the time or in the frequency domain. Previously, a very fast and efficient detection technique (Papy et al, 2003) has been applied to multimode sensors. Since in the present case the output signal is of the same nature, this technique achieves comparable performances when it is applied to signals issued/stemmed from the polarimetric SM setup.…”
Section: Transient Online Detection Algorithmmentioning
confidence: 99%
See 1 more Smart Citation
“…The noise filter is continuously and automatically adapted throughout the test as the noise level might vary. Final detection of transients, which are identified as short-duration non-stationarities, is achieved by a constant false alarm rate power-law detector [35,36]. A more detailed description of this algorithm can be found in Papy et al [35].…”
Section: Sensing Principlementioning
confidence: 99%
“…Final detection of transients, which are identified as short-duration non-stationarities, is achieved by a constant false alarm rate power-law detector [35,36]. A more detailed description of this algorithm can be found in Papy et al [35]. Data acquisition and processing is performed in real-time using LabVIEW software.…”
Section: Sensing Principlementioning
confidence: 99%