Discrimination between the Move and Stop of a Lift Based on Accelerometer Signals

摘要

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.