Wyniki wyszukiwania - BazTech

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Investigation of the influence of sugeno fuzzy regulator parameters on the modelling process of insulating material for electrical rotary machines

Hammer M., Szabo R., Svoboda J., Riha Z., Latina P., Vavruska J.

Prace Naukowe Instytutu Podstaw Elektrotechniki i Elektrotechnologii Politechniki Wrocławskiej. Konferencje

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2004

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Vol. 40, nr 15

200-203

EN

The contribution deals with the use of fuzzy regulators, which are used for modelling and identification of insulating materials for electrical rotary machines. For this purpose, we have used the fuzzy controller with the Sugeno fuzzy inference engine. The objective of this contribution is to outline the problems of adjusting the Sugeno fuzzy controller and determining what of the parameters have dominant influence on the time curve of the identification process of insulating material. By using the term "identification process", we understand the determination of the insulating material parameters on the basis of which it is possible to predict the lifetime of the insulating material.

2

Influence of fuzzy predictor parameters on the prediction of the residual lifetime of electrical rotary machine insulation

Hammer M., Svoboda J., Szabo R., Riha Z., Latina P., Vavruska J.

Prace Naukowe Instytutu Podstaw Elektrotechniki i Elektrotechnologii Politechniki Wrocławskiej. Konferencje

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2004

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Vol. 40, nr 15

204--207

EN

The contribution deals with the lifetime prediction of the Relanex insulating material used for the electrical rotary machine windings. By means of quantities Bv, Ba, Uk and utilizing the fuzzy apparatus in the form of fuzzy predictor, we determine the intensity of breakdown voltage and, consequently, the current state of the insulating material from the point of view of electric strength and the lifetime prediction of the material. To predict the breakdown voltage intensity, the fuzzy predictor of Sugeno type was used, particularly for easy setting of input parameters. According to the matrix of the values of individual inputs (Bv, Ba, Uk, Up) measured and the subsequent training phase, it is possible to predict the values of critical voltage Ups that can be further compared with real breakdown voltages Up and to make evaluations on the basis of relative and absolute errors.

3

Optimization of sliding contact parameters for DC electrical machine by methods of artificial intelligence

Baros M., Veselka F., Hammer M.

Zeszyty Naukowe. Elektryka / Politechnika Śląska

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2001

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z. 177

275-278

EN

The paper deals with parameter optimization of a sliding contact equivalent diagram for a DC machine by the methods of artificial intelligence, especially by a genetic algorithm. The emphasis is put on reaching the maximum of sparking and the minimum of losses. Firstly, the equivalent diagram of DC machine sliding contact used is described, and its mathematical model is analysed. Secondly, a numerical calculation is performed. In conclusion, the sliding contact is optimized by means of genetic algorithms. The parameters are selected for the optimized solution, a purpose (criterion) function is created and the results of optimized values are obtained and discussed.

4

Diagnostics of insulating systems for electrical machines

Hammer M.

Zeszyty Naukowe. Elektryka / Politechnika Śląska

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2001

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z. 176

163-166

EN

The present work is concerned with the diagnostics of insulating systems for rotary electrical machines. The theoretical justification of the new diagnostic methods used as well as the description of the experiment itself and its evaluation are presented. The test results obtained are also evaluated by the method of cluster analysis.

5

Diagnostics of glass-epoxy insulating materials

Hammer M.

Zeszyty Naukowe. Elektryka / Politechnika Śląska

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2001

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z. 176

159-162

EN

In the present work we introduce new diagnostic methods that were verified in laboratory conditions with glass-epoxy insulating materials. We describe the principle of these methods, test objects, the experiment itself and its evaluation, including the discussion of test results.

6

Constructional design of DC machine and its optimization by the methods of artificial intelligence

Kratochvil P., Veselka F., Hammer M.

Zeszyty Naukowe. Elektryka / Politechnika Śląska

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2001

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z. 176

111-114

EN

This paper is focused on the optimization of a DC machine constructional design using the optimized methods which are based on the artificial intelligence algorithms, mainly a genetic algorithm. The optimization should find a compromise between selected constructional parameters and the requirements for properties and operational functions of a machine to be designed. A machine design that was carried out by the "standard" method and a design of algorithm that performs the optimization using the genetic algorithm are described in the paper. In conclusion, the optimized calculation itself is performed and discussed. Results are presented and assessed, and the evaluation of a possible use of artificial intelligence algorithm for this specific optimizing task is carried out.

7

Application of fuzzy theory to electrical machine reliability

Hammer M.

Zeszyty Naukowe. Elektryka / Politechnika Śląska

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2001

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z. 177

161-166

EN

In the paper the theory of fuzzy sets is discussed from the standpoint of theory, and the concept of fuzzy reliability, the fuzzy mean value of the time up to a failure and the fuzzy failure rate are defined. The mathematical method used is also specified. Subsequently, this mathematical method is applied to a data set that was acquired from three-phase asynchronous motors with identical output and construction. The motors used to acquire the data totalled 300. The motors were used in industrial practice as the drives of belt conveyers in mines or as fan drives in thermal power plant. A major part of the paper discusses the results obtained and the fuzzy reliability comparison to the standard reliability. Graphical curves are also included in the paper.