Abstract
The paper focuses on the expert system shell which is proposed as a tool that can be used for a wide spectrum of industrial applications. A new architecture of the system enables reasoning by means of multi-domain knowledge representations and multi-inference engines. Moreover, the extended functionality of the system is developed using a context based approach. The system is implemented applying a data mining software which makes possible to acquire domain-specific knowledge and its direct application in the expert system shell. In this study, the preliminary verification is presented using the data registered by the SCADA system of the water supply network. The case study results are useful to illustrate the merits and limitations of the proposed approach.
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Acknowledgments
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, urza̧dzeń 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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Wachla, D., Przystałka, P., Kalisch, M., Moczulski, W., Timofiejczuk, A. (2016). Development of Expert System Shell with Context-Based Reasoning. In: Kowalczuk, Z. (eds) Advanced and Intelligent Computations in Diagnosis and Control. Advances in Intelligent Systems and Computing, vol 386. Springer, Cham. https://doi.org/10.1007/978-3-319-23180-8_27
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DOI: https://doi.org/10.1007/978-3-319-23180-8_27
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