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.
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Messaoud, A., Weihs, C., Hering, F. (2006). Nonlinear Time Series Modelling: Monitoring a Drilling Process. In: Spiliopoulou, M., Kruse, R., Borgelt, C., Nürnberger, A., Gaul, W. (eds) From Data and Information Analysis to Knowledge Engineering. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-31314-1_36
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DOI: https://doi.org/10.1007/3-540-31314-1_36
Publisher Name: Springer, Berlin, Heidelberg
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