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The Analysis of Stochastic Signal from LHD Mining Machine

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Stochastic Models, Statistics and Their Applications

Part of the book series: Springer Proceedings in Mathematics & Statistics ((PROMS,volume 122))

Abstract

In this paper a novel procedure for LHD (Load-Haul-Dump) machine temperature signal analysis is proposed. In this procedure the signal segmentation and its decomposition into trend and residuals is made. Moreover in the next step the novel technique for further decomposition of residuals is proposed and stochastic analysis procedure is applied. The stochastic analysis is based on the ARMA (autoregressive moving average) models with Gaussian and strictly stable distribution. Different nature of extracted sub-signals offers specific opportunity to use them for condition monitoring as well as process monitoring purposes. Appropriate processing techniques give a chance to observe specific character in the acquired data. In this paper we present basic theory related to the applied methodology as well as practical example obtained by application of proposed techniques.

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Author information

Authors and Affiliations

  1. Hugo Steinhaus Center, Institute of Mathematics and Computer Science, Wrocław University of Technology, Wrocław, Poland

    Agnieszka Wyłomańska

  2. Diagnostics and Vibro-Acoustics Science Laboratory, Wrocław University of Technology and KGHM CUPRUM Ltd CBR, Wrocław, Poland

    Radosław Zimroz

Authors
  1. Agnieszka Wyłomańska
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  2. Radosław Zimroz
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Corresponding authors

Correspondence to Agnieszka Wyłomańska or Radosław Zimroz .

Editor information

Editors and Affiliations

  1. Institute of Statistics, RWTH Aachen University, Aachen, Germany

    Ansgar Steland

  2. Dept. of Computer Engineering, Control and Robotics, Wrocław University of Technology, Wrocław, Poland

    Ewaryst Rafajłowicz

  3. Inst. of Mathematics and Computer Science, Wrocław University of Technology, Wrocław, Poland

    Krzysztof Szajowski

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Wyłomańska, A., Zimroz, R. (2015). The Analysis of Stochastic Signal from LHD Mining Machine. In: Steland, A., Rafajłowicz, E., Szajowski, K. (eds) Stochastic Models, Statistics and Their Applications. Springer Proceedings in Mathematics & Statistics, vol 122. Springer, Cham. https://doi.org/10.1007/978-3-319-13881-7_52

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