Abstract
The performance of bucket-wheel excavators used for the selective mining of multiple-layered lignite deposits is mainly determined by the physical and mechanical properties of the excavated material (digability parameters), as well as by the thickness and the inclination of the excavated layer. The lack of sufficient information regarding the diggability of the excavated layers during mine design stage results in a poor estimation of the bucket-wheel excavator’s performance. Such inaccurate estimation could lead to inappropriate equipment selection. The possibility of prediction of the bucket-wheel excavator performance by using an expert system was investigated in the present study. The development of the expert system was based on the existing boreholes’ data related to physical and mechanical properties of waste and lignite layers, on their geological descriptions and on the existing experiential knowledge about selective mining by bucket-wheel excavators.
The developed expert system was applied for the prediction of the performance of the bucket-wheel excavators used for the exploitation of Mavropigi Lignite Mine in Ptolemais area (Northern Greece).
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Galetakis, M., Papadopoulos, S., Vasiliou, A., Roumpos, C.P., Michalakopoulos, T. (2015). Development of an Expert System for the Prediction of the Performance of Bucket-Wheel Excavators Used for the Selective Mining of Multiple-layered Lignite Deposits. In: Niemann-Delius, C. (eds) Proceedings of the 12th International Symposium Continuous Surface Mining - Aachen 2014. Lecture Notes in Production Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-12301-1_6
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DOI: https://doi.org/10.1007/978-3-319-12301-1_6
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