@ARTICLE{Wang_Chen_An_2019, author={Wang, Chen and Chen, Jie and Liu, Cheng and Jiang, Chengyu}, volume={vol. 35}, number={No 3}, journal={Gospodarka Surowcami Mineralnymi - Mineral Resources Management}, pages={143-162}, howpublished={online}, year={2019}, publisher={Komitet Zrównoważonej Gospodarki Surowcami Mineralnymi PAN}, publisher={Instytut Gospodarki Surowcami Mineralnymi i Energią PAN}, abstract={As one of the key techniques in the fully mechanized mining process, equipment selection and matching has a great effect on security, production and efficiency. The selection and matching of fully mechanized mining equipment in thin coal seam are restricted by many factors. In fully mechanized mining (FMM) faced in thin coal seams (TCS), to counter the problems existing in equipment selection, such as many the parameters concerned and low automation, an expert system (ES) of equipment selection for fully mechanized mining longwall face was established. A database for the equipment selection and matching expert system in thin coal seam, fully mechanized mining face has been established. Meanwhile, a decision-making software matching the ES was developed. Based on several real world examples, the reliability and technical risks of the results from the ES was discussed. Compared with the field applications, the shearer selection from the ES is reliable. However, some small deviations existed in the hydraulic support and scraper conveyor selection. Then, the ES was further improved. As a result, equipment selection in fully mechanized mining longwall face called 4301 in the Liangshuijing coal mine was carried out by the improved ES. Equipment selection results of the interface in the improved ES is consistent with the design proposal of the 4301 FMM working face. The reliability of the improved ES can meet the requirements of the engineering. It promotes the intelligent and efficient mining of coal resources in China.}, type={Article}, title={An expert system for equipment selection of thin coal seam mining}, URL={http://rhis.czasopisma.pan.pl/Content/112122/PDF/wang-i-inni.pdf}, doi={10.24425/gsm.2019.128527}, keywords={expert system, thin coal seam, equipment selection and matching, decision-making software, field applications}, }