Zastosowanie systemu wnioskowania rozmytego do diagnostyki silnika indukcyjnego klatkowego

This paper presents a diagnostic conclusion block, based on a fuzzy logie approach. It proposes implementation of a decision making, algorithm based diagnostic system, in order to achieve an uninterrupted work cycle of the squirrel cage motor drives. The diagnostic conclusion interface has been designed on the basis of the diagnostic data, obtained from the analysis of the phase currents spectra and symmetrical components of the currents spectra. Indicators for the diagnostic evaluation have been selected on the basis of the solutions of the mathematical model of the motor, which takes into consideration the eccentricity of the rotor. The principle of work of the diagnostic conclusion block designed to evaluate the state of the rotor has been presented for a selected motor. Artificial intelligence, including fuzzy logie, applied in the conclusion systems increases the system's ability to derive characteristic relationships and correlations, which are not recognizable by traditional diagnostic methods, thus giving a higher possibility of forming a correct diagnosis. This is especially important in situations, when the correct interpretation of the measurement data and the diagnostic indicators requires knowledge, coming from the engineering experience.