Conformance Checking of a Longwall Shearer Operation Based on Low-Level Events
Marcin Szpyrka,
Edyta Brzychczy,
Aneta Napieraj,
Jacek Korski and
Grzegorz J. Nalepa
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Marcin Szpyrka: Department of Applied Computer Science, Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, AGH University of Science and Technology, 30-059 Krakow, Poland
Edyta Brzychczy: Department of Economics and Management in Industry, Faculty of Mining and Geoengineering, AGH University of Science and Technology, 30-059 Krakow, Poland
Aneta Napieraj: Department of Economics and Management in Industry, Faculty of Mining and Geoengineering, AGH University of Science and Technology, 30-059 Krakow, Poland
Jacek Korski: Famur S.A., 40-698 Katowice, Poland
Grzegorz J. Nalepa: Department of Applied Computer Science, Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, AGH University of Science and Technology, 30-059 Krakow, Poland
Energies, 2020, vol. 13, issue 24, 1-18
Abstract:
Conformance checking is a process mining technique that compares a process model with an event log of the same process to check whether the current execution stored in the log conforms to the model and vice versa. This paper deals with the conformance checking of a longwall shearer process. The approach uses place-transition Petri nets with inhibitor arcs for modeling purposes. We use event log files collected from a few coal mines located in Poland by Famur S.A., one of the global suppliers of coal mining machines. One of the main advantages of the approach is the possibility for both offline and online analysis of the log data. The paper presents a detailed description of the longwall process, an original formal model we developed, selected elements of the approach’s implementation and the results of experiments.
Keywords: industrial process; sensor data; conformance checking; Petri nets; shearer; underground mining (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (1)
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