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Discrimination between the move and stop of a lift based on accelerometer signals

  • Automation Systems in Scientific Research and Industry
  • Published:
Optoelectronics, Instrumentation and Data Processing Aims and scope

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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Authors and Affiliations

  1. Novosibirsk State Technical University, pr. Karla Marksa 20, Novosibirsk, 630073, Russia

    M. A. Rajfeld

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  1. M. A. Rajfeld
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Correspondence to M. A. Rajfeld.

Additional information

Original Russian Text © M.A. Rajfeld, 2015, published in Avtometriya, 2015, Vol. 51, No. 2, pp. 93–102.

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Rajfeld, M.A. Discrimination between the move and stop of a lift based on accelerometer signals. Optoelectron.Instrument.Proc. 51, 184–191 (2015). https://doi.org/10.3103/S8756699015020120

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  • DOI: https://doi.org/10.3103/S8756699015020120

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