Zbigniew Czaja, Romuald Zielonko
In the paper new methods of fault localisation and identification in linear electronic circuits (two-port or multiport type) based on bilinear transformations in multidimensional spaces are presented. The novelty of these methods lies in transferring family of identification loci from a plane to multidimensional spaces. It implies greater distances between the loci and, in consequence, better fault resolution as well as robustness against non-faulty component tolerances and measurement errors. The methods can be used for diagnosis of electronic circuits in conventional testing systems and...
XVII IMEKO World Congress
· TC10
· 2003
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Leon Swedrowski
The investigation results presented in the paper are related to diagnostics of induction rotor’s cages. The virtual tool shown in the paper was created for investigations as an instrument to measure, to present and to register the stator’s current spectrum characteristics. The neuron classifier was constructed to create an instrument enabling to assign the induction motor under test to one of two groups – faultless or defective, and to prove the effectiveness of applying the neuron network in conjunction with the stator’s current spectrum analysis to find out damage in the rotor’s cage. Two...
XVII IMEKO World Congress
· TC10
· 2003
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Ludwik Spiralski, Lech Hasse, Krzysztof Rogala, Janusz Turczynski
The system for production testing of high reliability interference suppressor capacitors have been presented. The noise level and non-linear distortions in capacitors can be established as a new criteria for reliability selection of interference suppressor capacitors. New tasks (measurement of third harmonic and noise) and their realization in the system have been proposed. It can improve the process of quality estimation of high reliability capacitors.
XVII IMEKO World Congress
· TC10
· 2003
· Download
Jerzy Hoja, Grzegorz Lentka
The paper presents a new method of anticorrosion coatings diagnostics using bilinear transformation. It is possible to identify the parameters of the equivalent circuit of the coating on the basis of object impedance measurement at a few, optimally selected measurement frequencies. The rules of optimal frequency selection are given. The number of frequencies is equal to the number of the equivalent circuit components. The developed identification algorithm enables continuous monitoring of the coating performance. The main advantage of the method is a few (more than 10) times shorter...
XVII IMEKO World Congress
· TC10
· 2003
· Download
Krzysztof J. Lewenstein, Krzysztof Urbaniak
The aim of our study is to create a computer diagnostic system (CDS) for breast cancer (BC) recognizing. As a software diagnostic tool we have used Fahlman’s cascade correlation neural network (FNN). The FNN was trained by the vector of features – parameters extracted from mammographic images of healthy tissue (H), tissue with benign (BT) and malignant tumour (M). To prepare digital data for the NN new, original methods of transformation the mammograms were proposed: Algorithm of Summing up the Rows (ASR) operating on the binarized picture, and analysis of extracted features from Region Of...
XVII IMEKO World Congress
· TC10
· 2003
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Pawel Lubkowski, Krzysztof Lewenstein, Krzysztof Urbaniak, Maciej Chojnacki
In the paper we present results of our research concerning the fusion, digital conversion, and digital analysis of eye bottom images. We have started investigation about three years ago, and our goal is computer aided diagnosis of diabetes retinopathy. In diabetes retinopathy very important is analysis of the image of cardiovascular network of eye bottom. Many parameters of main vessels as diameters, positions, turns junctions and many others have changed in time. So in the first step of the research we decided to make a software tools for image analysis , useful for ophthalmologist for...
XVII IMEKO World Congress
· TC10
· 2003
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Zsolt János Viharos, Sándor Markos, Csaba Szekeres
Today’s complex manufacturing systems operate in a changing environment rife with uncertainty strengthening the requirement for developing production systems with the ability of self adaptation. Market competition forces production firms to work more and more efficiently. As a consequence, continuously increasing material removal rate and flexible automation tools, without active human supervision can be observed as trends also in the metal cutting industry. Monitoring the chip breaking process is one of the important factors for automated supervision. The paper presents artificial neural...
XVII IMEKO World Congress
· TC10
· 2003
· Download
Zsolt János Viharos, László Monostori, Krisztián Novák, Gábor András Tóth, Tamás Koródi, Zoltán Csongrádi, Tamás Kenderesy, Tibor Sólymosi, Árpád Lorincz, István Magai, Ferenc Fazekas
Today’s complex manufacturing systems operate in a changing environment rife with uncertainty. The performance of manufacturing companies ultimately hinges on their ability to rapidly adapt their production to current internal and external circumstances. On the base of a running national research and development project (NRDP) on digital enterprises and production networks, the paper illustrates how the concepts of intelligent manufacturing systems in view of digital enterprises and monitoring of complex production systems can contribute to the solution of the above problems.
XVII IMEKO World Congress
· TC10
· 2003
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Kay Werthschulte, Friedrich Schneider
Measurement and control systems are essential in industrial applications. They are used to control and automate all kinds of processes during production. Their use in private homes is not so obvious due to the fact that the requirements are totally different. Although there are systems to connect sensors and actuators inside buildings using fieldbus technology they are only used for simple tasks like switching light and controlling the heating installation. Through a gateway it is possible to build tele-services that allow any kind of maintenance by the inhabitants or service personal. The...
XVII IMEKO World Congress
· TC10
· 2003
· Download
Yandong Tang, Axel von Freyberg, Horst Selzer, Gert Goch
This paper presents a number of image processing methods, including the fusion method, for analysing digitised fundus images. For computer aided Glaucoma diagnostics it is necessary to robustly and automatically detect the main regions (e.g. the papilla) within an image. This represents a major challenge, since a broad variety of images taken in different clinics with different cameras exist. For this purpose adapted methods are actually developed in the EU-project GlauCAD (Glaucoma Prevention by Computer Aided Diagnostics).
XVII IMEKO World Congress
· TC10
· 2003
· Download