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IEEE Colombian Conference on Applications in Computational Intelligence

ColCACI 2019: Applications of Computational Intelligence pp 259–271Cite as

Fuzzy Classification of Industrial Data for Supervision of a Dewatering Machine: Implementation Details and Results

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1096))

Abstract

In this document, real data collected in an industrial process are studied and analyzed, with the intention of improving the process supervision seeking for operational efficiency and saving resources, emphasizing in the information cleaning process using basic statistics and data analysis based on non-supervised clustering algorithms: Lamda, GK means and Fuzzy C-means. A general data cleaning procedure for use in industrial environments is suggested. The procedure proposed is followed in a case for a centrifuge machine for mud treatment, three versions of fuzzy classifiers were tested where fuzzy, c-means was finally selected and a result is obtained that permits detecting an inefficient operating state, in some cases the machine was running at a normal current and spending energy and other resources for a long period and the mud was not treated properly, the exit mud was practically the same as the mud at the entrance. The trained classifier has been implemented directly in the PLC used to control the machine, and the results of online classification have been verified showing that states correspond with the process behavior.

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Author information

Authors and Affiliations

  1. Politécnico Colombiano Jaime Isaza Cadavid, Medellín, Colombia

    Carlos M. Sánchez M & Henry O. Sarmiento M

Authors
  1. Carlos M. Sánchez M
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  2. Henry O. Sarmiento M
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Corresponding author

Correspondence to Carlos M. Sánchez M .

Editor information

Editors and Affiliations

  1. Universidad del Rosario, Bogotá, Colombia

    Alvaro David Orjuela-Cañón

  2. Universidad Distrital Francisco José de Caldas, Bogotá, Colombia

    Juan Carlos Figueroa-García

  3. Universidad de Antioquia, Medellín, Colombia

    Julián David Arias-Londoño

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Sánchez M, C.M., Sarmiento M, H.O. (2019). Fuzzy Classification of Industrial Data for Supervision of a Dewatering Machine: Implementation Details and Results. In: Orjuela-Cañón, A., Figueroa-García, J., Arias-Londoño, J. (eds) Applications of Computational Intelligence. ColCACI 2019. Communications in Computer and Information Science, vol 1096. Springer, Cham. https://doi.org/10.1007/978-3-030-36211-9_21

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  • DOI: https://doi.org/10.1007/978-3-030-36211-9_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-36210-2

  • Online ISBN: 978-3-030-36211-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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