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Nonlinear Time Series Modelling: Monitoring a Drilling Process

  • Amor Messaoud
  • Claus Weihs
  • Franz Hering
Conference paper
Part of the Studies in Classification, Data Analysis, and Knowledge Organization book series (STUDIES CLASS)

Abstract

Exponential autoregressive (ExpAr) time series models are able to reveal certain types of nonlinear dynamics such as fixed points and limit cycles. In this work, these models are used to model a drilling process. This modelling approach provides an on-line monitoring strategy, using control charts, of the process in order to detect dynamic disturbances and to secure production with high quality.

Keywords

Control Chart Drilling Process Hole Depth Dynamic Disturbance Chatter Vibration 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Berlin · Heidelberg 2006

Authors and Affiliations

  • Amor Messaoud
    • 1
  • Claus Weihs
    • 1
  • Franz Hering
    • 1
  1. 1.Fachbereich StatistikUniversität DortmundGermany

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