Voytovych O. Information-Measuring System of Brushless Electromechanical Transducer Diagnosis Based on Neural-Fuzzy Methods

Object of research - processes which proceed in information-measures systems of brushless electromechanical transducer diagnosis which work on high frequencies of rotation; subject of research - methods and means information-measures systems of brushless electromechanical transducer diagnosis; methods of research are based on use: theories of measurements; theories of measurements errors; theories of electric drives; theories of sensitivity functions; methods of imitating modelling; methods of fuzzy logic and neural network; the purpose of research - increasing diagnosis reliability of brushless electromechanical transducer which work on high frequencies of rotation, complexly taking into account faults by special testing and continuous inspection, and reduction of diagnostic parameters measurement errors for continuous diagnosing and at tests; theoretical and practical results - offered the structurally-algorithmic approach of construction in information-measures systems of brushless electromechanical transducer diagnosis, with the increased reliability of diagnosing; a neural-fuzzy method of brushless electromechanical transducer diagnosis in real time; a method of definition of instrumental reliability; structure of the measuring channel of angular speed, with normalized measurement error; degree of introduction - within the limits of sphere; sphere of application - the electromechanical industry.