Prediction of the ferrite-core probe performance using a neural network approach

Materials and Manufacturing Processes

Volumn 25, Issue 8, 2010, Pages 718-723

  Baseri, Hamid ^a   Damirchi, Hoseyn ^a  

^a BABOL NOSHIRVANI UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Eddy current; Ferrite core probe; Neural network

Indexed keywords

AIR-CORE COILS; BACK PROPAGATION NEURAL NETWORKS; COATING THICKNESS; CURRENT PRINCIPLE; EDDY CURRENT METHOD; ELECTRONIC DETECTION; EXPERIMENTAL OBSERVATION; FERRITE MATERIALS; HIGH FREQUENCY; LOW FREQUENCY; PROBE DESIGN; PROBE STRUCTURES; THREE-LAYER;

COATINGS; EDDY CURRENTS; FERRITE; PROBES; SIGNAL TO NOISE RATIO; THICKNESS MEASUREMENT;

NEURAL NETWORKS;

EID: 77956467792     PISSN: 10426914     EISSN: 15322475     Source Type: Journal    
DOI: 10.1080/10426910903229370     Document Type: Article

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