2013 SBMO/IEEE MTT-S International Microwave &Amp; Optoelectronics Conference (IMOC) 2013
DOI: 10.1109/imoc.2013.6646418
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Smart optical fiber sensor for impact localization on planar structures

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Cited by 3 publications
(3 citation statements)
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“…With the development of artificial intelligent technology, intelligent algorithms were employed for impact source localization. Riberiro et al [10] respectively used FBG sensors and the neural network method to obtain the location of the impact source on composite structures. Lu et al [11] proposed support vector regression to determine the impact source on a composite structure using FBGs.…”
Section: Introductionmentioning
confidence: 99%
“…With the development of artificial intelligent technology, intelligent algorithms were employed for impact source localization. Riberiro et al [10] respectively used FBG sensors and the neural network method to obtain the location of the impact source on composite structures. Lu et al [11] proposed support vector regression to determine the impact source on a composite structure using FBGs.…”
Section: Introductionmentioning
confidence: 99%
“…When multiple impact events simultaneously appear, the mixed impact signals of different impact sources need to be distinguished for obtaining arrival time of impact signals and locating multi-impact. Riberiro et al [10] and Jang et al [11] used FBG sensors and the neural network method to obtain the location of impact source on the composite structure, respectively. Lu et al [12] proposed support vector regression to determine impact source on the composite structure by using FBGs.…”
Section: Introductionmentioning
confidence: 99%
“…Lu et al [8] applied least squares support vector machine to locate impact source on a composite plate. Ribeiro et al [9] used FBG sensors and neural network method to obtain the location of impact source on composite structures. These methods need large train samples.…”
Section: Introductionmentioning
confidence: 99%