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dc.contributor.advisorDhaouadi, Rached
dc.contributor.advisorLandolsi, Taha
dc.contributor.authorEl-Ashi, Yasmine
dc.date2010en_US
dc.date.accessioned2011-03-10T12:43:47Z
dc.date.available2011-03-10T12:43:47Z
dc.date.issued2010
dc.identifier.other35.232-2010.01
dc.identifier.urihttp://hdl.handle.net/11073/135
dc.descriptionA Master of Science Thesis in Mechatronics Submitted by Yasmine El-Ashi Entitled, "Modeling and Analysis of a Wavelet Network Based Optical Sensor for Vibration Monitoring," 2010. Available are both Soft and Hard Copies of the Thesis.en_US
dc.description.abstractThe main objective of this research is to present a wavelet network based optical lateral position sensor for vibration monitoring using a 2 2 photodetector array. In our approach, the power distribution of the light spot is measured taking into consideration the radial symmetry of the spot and its Gaussian intensity pro le. The proposed system uses a He-Ne laser source whose Gaussian beam impinges on the photodetector array. The normalized optical power for each photocell is obtained theoretically by deriving the optical power equations as the beam scans the plane of photodetectors. The position detection is based on nding a relationship between the power distribution of the photodetector array and the position of the beam center. An experimental setup of the system is developed to validate the theoretical results. Furthermore, a wavelet network function approximation technique is used to estimate the x{y position of the beam center corresponding to the measured optical powers.en_US
dc.description.sponsorshipCollege of Engineeringen_US
dc.description.sponsorshipMultidisciplinary Programsen_US
dc.language.isoen_USen_US
dc.relation.ispartofseriesMaster of Science in Mechatronics Engineering (MSMTR)en_US
dc.subject.lcshOptical detectorsen_US
dc.subject.lcshVibrationen_US
dc.subject.lcshMeasurementen_US
dc.subject.lcshNeural networks (Computer science)en_US
dc.titleModeling and Analysis of a Wavelet Network Based Optical Sensor for Vibration Monitoringen_US
dc.typeThesisen_US


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