DISCRIMINATION BETWEEN THE MOVE AND STOP OF A LIFT BASED ON ACCELEROMETER SIGNALS
M. A. Rajfeld
Novosibirsk State Technical University, pr. Karla Marksa 20, Novosibirsk, 630073 Russia
Keywords: accelerometer, whitening filter, Neyman–Pearson test, nonparametric algorithm, rank statistics
Subsection: AUTOMATION SYSTEMS IN SCIENTIFIC RESEARCH AND INDUSTRY
Abstract
A solution to the problem of reliable discrimination between the move and stop states of a mine lift is proposed based on processing signals of an accelerometer mounted in the lift cabin. The accelerometer signal is processed using a combination of adaptive whitening algorithms and a nonparametric Neyman-Pearson test that provides an effective solution of the problem under a priori nonparametric uncertainty conditions.
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