National Repository of Grey Literature 4 records found  Search took 0.01 seconds. 
Automatic Industrial Quality Control from Image
Kruták, Martin ; Hradiš, Michal (referee) ; Zemčík, Pavel (advisor)
The goal of this thesis is to create overall, automatic and non-contact quality control of a pellet. The issue is divided into two separate parts. The first part deals with precise dimensional measuring of pellet - its length and head diameter so that it is precise and reasonably fast. Precise measuring is achieved with help of algorithms which achieve the sub-pixel precision by polynomial approximation of the edges extracted from the image gradients. The second part deals with the defects of a pellet. Detecting defects like longitudinal furrows or skirt cuts is achieved with convolutional neural networks. The measurement modules work with the resulting precision up to 0.025 mm in case of length measuring and up to 0.01 mm in case of head diameter measuring. In case of defect detections, neural network shows very high classification success rate. The contribution of this thesis is a presentation of innovative approaches in automatic quality control of pellets with use of neural networks and a demonstration of its usage in real manufacturing process.
Determination of measurement uncertainties of holes in steel components by X-ray computed tomography
Blažek, Pavel ; Šperka,, Jiří (referee) ; Kalasová, Dominika (advisor)
This thesis deals with determination of uncertainties of dimensional measurements in X-ray computed tomography. CT measurement process involves a lot of steps and is affected by a lot of factors, which depend not only on the CT system parameters but also on the measured sample and the operator. All of this influences the resulting uncertainty. Experimental method involving calibrated workpieces allows to determine the uncertainty without perfect knowledge of the influence factors. This method is described in standards ISO 15530-3 and VDI/VDE 2630 2.1. The aim of this work is to experimentally determine the uncertainty of tomographic measurement of dimensions of holes of selected workpiece on a CT device GE phoenix v|tome|x L240. Hence, a demonstration workpiece has been designed and manufactured. The dimensional CT measurements of inner and outer diameters have been performed on this sample. The reference measurement has been performed using a length measuring machine SIP 1002. The uncertainty of measurement depending on penetration thickness of the material has been determined.
Automatic Industrial Quality Control from Image
Kruták, Martin ; Hradiš, Michal (referee) ; Zemčík, Pavel (advisor)
The goal of this thesis is to create overall, automatic and non-contact quality control of a pellet. The issue is divided into two separate parts. The first part deals with precise dimensional measuring of pellet - its length and head diameter so that it is precise and reasonably fast. Precise measuring is achieved with help of algorithms which achieve the sub-pixel precision by polynomial approximation of the edges extracted from the image gradients. The second part deals with the defects of a pellet. Detecting defects like longitudinal furrows or skirt cuts is achieved with convolutional neural networks. The measurement modules work with the resulting precision up to 0.025 mm in case of length measuring and up to 0.01 mm in case of head diameter measuring. In case of defect detections, neural network shows very high classification success rate. The contribution of this thesis is a presentation of innovative approaches in automatic quality control of pellets with use of neural networks and a demonstration of its usage in real manufacturing process.
Determination of measurement uncertainties of holes in steel components by X-ray computed tomography
Blažek, Pavel ; Šperka,, Jiří (referee) ; Kalasová, Dominika (advisor)
This thesis deals with determination of uncertainties of dimensional measurements in X-ray computed tomography. CT measurement process involves a lot of steps and is affected by a lot of factors, which depend not only on the CT system parameters but also on the measured sample and the operator. All of this influences the resulting uncertainty. Experimental method involving calibrated workpieces allows to determine the uncertainty without perfect knowledge of the influence factors. This method is described in standards ISO 15530-3 and VDI/VDE 2630 2.1. The aim of this work is to experimentally determine the uncertainty of tomographic measurement of dimensions of holes of selected workpiece on a CT device GE phoenix v|tome|x L240. Hence, a demonstration workpiece has been designed and manufactured. The dimensional CT measurements of inner and outer diameters have been performed on this sample. The reference measurement has been performed using a length measuring machine SIP 1002. The uncertainty of measurement depending on penetration thickness of the material has been determined.

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