Applying similarity search for the investigation of the fuel injection process

  • Authors:
  • Christian Beecks;Anca Maria Ivanescu;Thomas Seidl;Diana Martin;Philipp Pischke;Reinhold Kneer

  • Affiliations:
  • RWTH Aachen University, Germany;RWTH Aachen University, Germany;RWTH Aachen University, Germany;RWTH Aachen University, Germany;RWTH Aachen University, Germany;RWTH Aachen University, Germany

  • Venue:
  • Proceedings of the Fourth International Conference on SImilarity Search and APplications
  • Year:
  • 2011

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Abstract

We introduce a distance-based similarity model with application to the optimization of the fuel injection process. Our model allows for an automatic evaluation of huge and complex amount of experimental data originated from optical measurement techniques analyzing the fuel injection process. The goal is to enable researchers to get deeper insight into this process based on an automatically driven analysis.