Development of Expert System Shell for Coal Mining Industry

  • Piotr Przystałka
  • Wojciech Moczulski
  • Anna Timofiejczuk
  • Mateusz Kalisch
  • Marek Sikora
Conference paper

DOI: 10.1007/978-3-319-20463-5_25

Part of the Applied Condition Monitoring book series (ACM, volume 4)
Cite this paper as:
Przystałka P., Moczulski W., Timofiejczuk A., Kalisch M., Sikora M. (2016) Development of Expert System Shell for Coal Mining Industry. In: Chaari F., Zimroz R., Bartelmus W., Haddar M. (eds) Advances in Condition Monitoring of Machinery in Non-Stationary Operations. Applied Condition Monitoring, vol 4. Springer, Cham

Abstract

The paper deals with the design of an expert system shell for the decision support system that is developed to be used in coal mining industry. A proposed architecture of the system allows reasoning by means of multi-domain knowledge representations and multi-inference engines. The implementation of the system is based on data mining software (RapidMiner) which makes possible to acquire domain-specific knowledge and its application in the expert system shell. In this study, the preliminary verification is presented using DAMADICS simulator that was proposed to compare different fault diagnosis methods. The obtained results show the merits and limitations of the proposed approach.

Keywords

Diagnostic expert systems Knowledge representations Machine learning Data mining Fault detection and isolation 

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Piotr Przystałka
    • 1
  • Wojciech Moczulski
    • 1
  • Anna Timofiejczuk
    • 1
  • Mateusz Kalisch
    • 1
  • Marek Sikora
    • 2
    • 3
  1. 1.Institute of Fundamentals of Machinery DesignSilesian University of TechnologyGliwicePoland
  2. 2.Institute of Innovative Technologies EMAGKatowicePoland
  3. 3.Institute of Computer SciencesSilesian University of TechnologyGliwicePoland

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