Automaton based on fuzzy clustering methods for monitoring industrial processes

  • Authors:
  • Javier F. BotíA;Claudia Isaza;Tatiana Kempowsky;Marie VéRonique Le Lann;Joseph Aguilar-MartíN

  • Affiliations:
  • Electronic Engineering Department, University of Antioquia, Calle 67 53-108, 05001000 Medellín, Colombia;Electronic Engineering Department, University of Antioquia, Calle 67 53-108, 05001000 Medellín, Colombia;LAAS-CNRS, 7 Avenue du colonel Roche, 31077 Toulouse Cedex 4, France and Univ de Toulouse, INSA, LAAS, F-31400 Toulouse, France;LAAS-CNRS, 7 Avenue du colonel Roche, 31077 Toulouse Cedex 4, France and Univ de Toulouse, INSA, LAAS, F-31400 Toulouse, France;ESAII-UPC, Rambla Sant Nebridi, 10, 08222 Terrasa (Catalunya), Spain

  • Venue:
  • Engineering Applications of Artificial Intelligence
  • Year:
  • 2013

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Abstract

Fuzzy clustering allows finding classes through the historical data in order to associate them with functional states useful to represent the complex industrial processes behavior. By means of classes, an automaton can be established that determines the current and the next connections of functional states of a process. When fuzzy clustering is used, the connections in the historical data are considered but it does not find other important connections. To solve this limitation, a new method to seek the most important connections among functional states is proposed. Initially, the approach defines an initial transition degrees matrix, where all connections are taken into account. Through a proposed update step, the most important connections are obtained, which they describe the real behavior of a process. In addition, a new distance criterion is defined to improve the update step. The final transition degrees matrix is used to construct a fuzzy automaton that it is validated by human operator's experience. The approach was tested in a steam generator process. Applying three fuzzy clustering algorithms in case of study, the proposed method finds the same transition matrix. The new connections were validated by the human operator.