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Adaptive Methods of Process State Evaluation: The Development of an Application for Engineering Purposes

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Proceedings of the Third International Afro-European Conference for Industrial Advancement — AECIA 2016 (AECIA 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 565))

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Abstract

In the paper the computer program supporting process state evaluation on the basis of process state measures (e.g. parameters, diagnostic signals and events which occur during the process) was introduced. The aMOPS software (an acronym for adaptacyjne Metody Oceny Stanu Procesu (ang. adaptive Process State Evaluation Methods)) is a computer application of adaptive character methods enabling to evaluate the process in the real time. The software consists of three main modules which facilitate the creation and operation of process parameter databases and contain algorithms for the generation of process evaluation. First, SPC methods, contains a set of classic process evaluation tools (capability indices, control charts, descriptive statistics). The second - HAMSTER - enables to evaluate the process with the use of process safety function. Third module - DRSA, allows to generate rules connected with the process state on the basis of rough sets theory.

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Notes

  1. 1.

    jRS – implements algorithms used in the DRSA approach, owned by the Poznań University of Technology, IT Institute.

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Author information

Authors and Affiliations

  1. Poznan University of Technology, Poznan, Poland

    Agnieszka Kujawińska & Michał Rogalewicz

Authors
  1. Agnieszka Kujawińska
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  2. Michał Rogalewicz
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Corresponding author

Correspondence to Michał Rogalewicz .

Editor information

Editors and Affiliations

  1. Machine Intelligence Research Labs, Auburn, Washington, USA

    Ajith Abraham

  2. Department of Mathematics and Computer, Faculty of Sciences and Techniques, Settat, Morocco

    Abdelkrim Haqiq

  3. Information Technology Department, Faculty of Computers and Information, Giza, Egypt

    Aboul Ella Hassanien

  4. VSB-Technical University of Ostrava, Ostrava, Czech Republic

    Vaclav Snasel

  5. ENIS, University of Sfax, Sfax, Tunisia

    Adel M. Alimi

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Kujawińska, A., Rogalewicz, M. (2018). Adaptive Methods of Process State Evaluation: The Development of an Application for Engineering Purposes. In: Abraham, A., Haqiq, A., Ella Hassanien, A., Snasel, V., Alimi, A. (eds) Proceedings of the Third International Afro-European Conference for Industrial Advancement — AECIA 2016. AECIA 2016. Advances in Intelligent Systems and Computing, vol 565. Springer, Cham. https://doi.org/10.1007/978-3-319-60834-1_6

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  • DOI: https://doi.org/10.1007/978-3-319-60834-1_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60833-4

  • Online ISBN: 978-3-319-60834-1

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