© V. V. Kiselev, S. V. Shalobanov, S. S. Shalobanov
ADAPTIVE ALGORITHM FOR THE SEARCH OF A DEFECTIVE BLOCK IN AUTOMATIC CONTROL SYSTEMS
The work considers the defect search method in a continuous dynamical system with a depth to dynamical block based on trial deviations of the model parame-ters with the use of adaptive algorithm. This approach improves the noise immunity of the algorithm, especially in the diagnosis of.barely noticeable defects. The use of differential weighting function for the integration of the signals allows one to utilize working (functional) diagnosis. The results of the algorithm implementation that show its effectiveness and provide high distinction of the defects are given.
Keywords: object of diagnostic, trial deviations of model parameters, the differential weighting function, adaptive algorithm, normalized diagnostic sign, defect distinguishability.
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