@inbook{a02d014513094b8aa9d7e3e3feb6de48,
title = "Development of expert system shell for coal mining industry",
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 = "Data mining, Diagnostic expert systems, Fault detection and isolation, Knowledge representations, Machine learning",
author = "Piotr Przysta{\l}ka and Wojciech Moczulski and Anna Timofiejczuk and Mateusz Kalisch and Marek Sikora",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2016.",
year = "2016",
doi = "10.1007/978-3-319-20463-5\_25",
language = "English",
series = "Applied Condition Monitoring",
publisher = "Springer",
pages = "335--348",
booktitle = "Applied Condition Monitoring",
address = "Germany",
}