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Univ.-Prof. Dr.-Ing. Horst-Michael Groß

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Title:Adaptive Self Optimization Process control system
Duration:01.05.2001 - 28.02.2002 / 01.03.2002 - 31.06.2002 / 01.10.2002 - 30.11.2003
Funding:Powitec GmbH Essen
Project Partner:Powitec GmbH Essen
Project Manager:Prof. Dr. Horst-Michael Groß, Dr.-Ing. Klaus Debes
Staff:Dipl.-Inf. Alexander König, Dr. Volker Stephan


This project contains the following tasks:

  1. Further development of our model-based anticipative process control system with respect to the following subtasks:
    1. Data-mining of visual and conventional process data
    2. Implementation of appropriate process models using artificial neural networks
    3. Design, test und fine-tuning of the process evaluation
  2. Development of simulated demonstrators for process evaluation and control
  3. Development of tools for data-visualization based on neural clustering algorithms
  4. Feasibility-analysis for new methods of data-mining to extract control-relevant visual information out of the video-data of a combustion process (ICA and nonlinear PCA)