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.
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Acknowledgements
The research presented in the paper was partially financed by the National Centre of Research and Development (Poland) within the frame of the project titled “Zintegrowany, szkieletowy system wspomagania decyzji dla systemów monitorowania procesów, urzadzeń i zagrożeń” (in Polish) carried out in the path B of Applied Research Programme—grant No. PBS2/B9/20/2013. The part of the research was also financed from the statutory funds of the Institute of Fundamentals of Machinery Design.
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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. CMMNO 2014. Applied Condition Monitoring, vol 4. Springer, Cham. https://doi.org/10.1007/978-3-319-20463-5_25
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DOI: https://doi.org/10.1007/978-3-319-20463-5_25
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