000230132 001__ 230132
000230132 005__ 20190509132614.0
000230132 0247_ $$2doi$$a10.5075/epfl-thesis-7759
000230132 02470 $$2urn$$aurn:nbn:ch:bel-epfl-thesis7759-1
000230132 02471 $$2nebis$$a10971183
000230132 037__ $$aTHESIS
000230132 041__ $$aeng
000230132 088__ $$a7759
000230132 245__ $$aMethod and Procedure in Metal Detection and Distinctive Discrimination of Size, Shape, and Location of Hidden Single and Multi-Material Targets
000230132 260__ $$bEPFL$$c2017$$aLausanne
000230132 269__ $$a2017
000230132 300__ $$a169
000230132 336__ $$aTheses
000230132 502__ $$aProf. Jürg Alexander Schiffmann (président) ; Prof. Yves Perriard, Dr Christian Köchli (directeurs) ; Prof. Anja Skrivervik, Prof. Bruno Dehez , Prof. Christoph Würsch  (rapporteurs)
000230132 520__ $$aThis work provides a procedure and methodology for the design of an electro-magnetic sensor based on induction due to ferromagnetic and pure electrically conduc-tive hidden targets. The electromagnetic sensor is made of one or several excitation coils, which induce eddy currents in the target(s) and one or several sensing coils, which measure the target response. The latter signals are then processed to obtain the wanted properties of the target. Detection by induction at radio frequencies (medium frequen-cies) is famous for its relative simplicity, cost effective, and precise size discrimination but has disadvantages mainly in signal strength (especially for far hidden targets) and it is less effective in material discrimination in the case where multi-material targets are present. The presented methodology links three main design fields: excitation, sensor design, and post-processing. Its objective is to improve detection by induction in allow-ing for selectivity in detection or the possibility to distinctively detect targets made of different materials. Implemented simulation models together with experimental verifi-cation led to a highly improved procedure in target feature discrimination. Features are defined here as: size, depth, location, and even material of the target(s). A forward mod-el helped in linking the physical aspects of the defined targets to mathematical para-metrized equations that contributed easily in a flexible discrete inverse model for both transient (pulse induction) and time harmonic (harmonic induction). Feature discrimi-nation is a necessary step to reach the final aim defined here as distinctive detection. It means being able to distinguish between single material targets and mixed material targets at the same time and still discriminate their features. The proposal is flexible even for relative target orientation, robust in changing environmental conditions, relia-ble even for relatively far targets, balanced and robust to overcome manufacturing toler-ances, precise enough to meet industrial sensor specifications of such technology, and can combine different excitations with their benefits and give the required outcome se-lectively.
000230132 6531_ $$aElectromagnetic
000230132 6531_ $$ainduction
000230132 6531_ $$aquasi-static
000230132 6531_ $$asensor
000230132 6531_ $$apulse induction
000230132 6531_ $$aharmonic excitation
000230132 6531_ $$afinite element
000230132 6531_ $$adipole model
000230132 6531_ $$aoptimization
000230132 6531_ $$amaterial discrimination
000230132 700__ $$0245961$$g210341$$aAbu Antoun, Chafic
000230132 720_2 $$aPerriard, Yves$$edir.$$g106071$$0242567
000230132 720_2 $$aKöchli, Christian$$edir.$$g105563$$0242563
000230132 8564_ $$uhttps://infoscience.epfl.ch/record/230132/files/EPFL_TH7759.pdf$$zn/a$$s14605525$$yn/a
000230132 909C0 $$xU10351$$0252066$$pLAI
000230132 909CO $$pthesis$$pthesis-bn2018$$pDOI$$ooai:infoscience.tind.io:230132$$qDOI2$$qGLOBAL_SET$$pSTI
000230132 917Z8 $$x108898
000230132 917Z8 $$x108898
000230132 918__ $$dEDRS$$cIMT$$aSTI
000230132 919__ $$aLAI
000230132 920__ $$b2017$$a2017-8-21
000230132 970__ $$a7759/THESES
000230132 973__ $$sPUBLISHED$$aEPFL
000230132 980__ $$aTHESIS