CONSTRUCTED FEATURES FOR AUTOMATIC CLASSIFICATION OF STATIONARY TIMING SIGNALS

S. A. Subbotin

Abstract


The challenge for automation to reduce the dimension of the
data has been solved for the construction of diagnostic and
recognizing patterns, based on steady-state one-dimensional
signals, distributed in time. The set of indicators characterizing the
properties of the signals, which allows to reduce the description of the classified objects is firstly proposed. The experiments on studying of the proposed indicator set at practical problem solving s are conducted.

Keywords


pattern recognition, technical diagnosis, feature, stationary signal, feature extraction.

GOST Style Citations






DOI: https://doi.org/10.15588/1607-3274-2012-1-19



Copyright (c) 2014 S. A. Subbotin

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