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EN
The computer system connection with a sparking analiser enabled the evaluation of the brush-commutator sparking junction in reference to a particular portion of the commutator. To assess the sparking some mathematical indicators were applied, which reflect light signals. The measurements results of the conducted research are always different from the real figures. The physical figures measurements are capable to establish only the estimates which contain errors. In this article an attempt to a discussion of the errors committed at conducting the measurements by means of the opto-electronic method was presented.
EN
The paper presents a concept of realization of an expert system for monitoring and diagnostics of electric direct current commutator machines. A perceptron regulator of the current of commutation poles is sometimes incapable of eliminating or reducing the sparking of brushes. This may be due to mechanical or other additional factors, which were not taken into consideration in the process of instruction of the artificial neural network ANN described in the previous paper. That is why the application of a damage detector will allow to control states of emergency or machine failures and to inform the system operator or shut down.
EN
The paper presents a possible application of the capabilities of methods and techniques of ANN artificial intelligence for diagnostics of sparking processes in electric direct current commutator machines. Hitherto applied methods of diagnostics, usually based on the visual observation of sparking, depend on the expert's knowledge and experience. The expert interprets current data obtained from observation. The drawback of this approach lies in its dependence on the expert's knowledge and experience, which makes the data difficult to use for further processing. That is why, apart from improving methods, it is necessary to find a way to objectify the sparking processes in the detection and assessment of damage as well as reduction of the level of sparking of brushes.
EN
The paper presents a concept of realization of an expert system for monitoring and diagnostics of electric direct current commutator machines. A perceptron regulator of the current of commutation poles is sometimes incapable of eliminating or reducing the sparking of brushes. This may be due to mechanical or other additional factors, which were not taken into consideration in the process of instruction of the artificial neural network ANN described in the previous paper. That is why the application of a damage detector will allow to control states of emergency or machine failures and to inform the system operator or shut down.
PL
Celem referatu jest poznanie własności maszyny komutatorowej prądu stałego z niesymetrią wewnętrzną. Maszynę pracującą jako silnik badano w różnych przypadkach zwarcia i przerwy zezwojów wirnika. Pomiary zrealizowano przy zasilaniu obwodu twornika maszyny ze źródła napięcia wyprostowanego, tj. przekształtnika tyrystorowego 6T, a obwodu wzbudzenia ze źródła napięcia stałego, tj. z obcowzbudnego generatora prądu stałego. W oparciu o wyniki pomiarów przeprowadzono analizę spektralną prądów wzbudzenia i twornika. W referacie przedstawiono wyniki badań.
EN
A goal of the paper is to get to know the properties of a direct-current commutator machine with internal asymmetry. The machine working as a motor has been tested under conditions of various cases of short-circuits and discontinuity in its rotor coils. The armature of the machine has been supplied from a rectified voltage source, i.e. a thyristor converter 6T while the excitation circuit has been supplied from a direct voltage source, i.e. a separately excited D.C. generator and then the measurements have been made. Basing on the measuring results, a spectroanalysis of exciting currents and armature currents have been made. The test results have been presented in the paper.
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