FIELD: physics.
SUBSTANCE: invention relates to a method of training a system for recognizing non-monotonicity of signals. Method comprises reproducing an oscillogram on an analytic system display, instructing the analytical system by indicating a portion of the waveform to be taken as a sample for analysis, recording all values of the oscillograms on the ordinate in the form of numbers in the array, after processing of elements of which a waveform array of one period is obtained, which is a sample, all periods in the whole analysed waveform are calculated, similarly to the sample a two-dimensional array is obtained, by comparing the subarrays of which with the sample, analytical system decides whether to report and generate images of the analysed period of the waveform, in addition, calculating difference of sequence numbers in entire analysed waveform of initial elements of those subarrays of two-dimensional array, which follow directly after each other, obtaining array of differences to perform calculations, based on which results determine element of oscillogram, in area of which there is a long absence of changes in amplitude of signal.
EFFECT: technical result is higher probability of detecting anomalies in a signal.
1 cl, 13 dwg
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Authors
Dates
2021-01-28—Published
2020-02-04—Filed