Czwalina J,Kubic J,Bigby D N,et al.New Mechanisation and Automation of Longwall and Drivage Equipment[R].Luxembourg: Research Fund for Coal and Steel,2011:7-130.
[8]
Nabusli S,Rodríguez á,Plum D,et al. Advanced drivage and road-heading intelligent systems[R].Luxembourg: Research Fund for Coal and Steel,2012:7-82.
[9]
?wider J,Jasiulek D. Use of a virtual prototyping in construction of a mining machine’s control system[J]. Journal of Achievements in Materials and Manufacturing Engineering,2009,36(2): 160-167.
[10]
Jasiulek D,Stankiewicz K,?wider J. An adaptive control system of roadheader with intelligent modelling of mechanical features of mined rock[J]. Journal of KONES,2011,18: 197-203.
[11]
Jasiulek D,?wider J. Mechatronic systems in mining roadheaders-examples of solutions[J]. Pomiary,Automatyka,Robotyka,2013,17: 121-127.
[12]
Sun Y,Li X S,Shao W. Influence of cutting parameters and interactions on the depth of cut in continuous mining operation[J]. Advanced Materials Research,2012,538: 1422-1428.
[13]
Ralston J,Reid D,Hargrave C,et al. Sensing for advancing mining automation capability: A review of underground automation technology development[J]. International Journal of Mining Science and Technology,2014,24(3): 305-310.
[14]
Comakli R,Kahraman S,Balci C. Performance prediction of roadheaders in metallic ore excavation[J]. Tunnelling and Underground Space Technology,2014,40: 38-45.
[15]
Ebrahimabadi A,Goshtasbi K,Shahriar K,et al. Predictive models for roadheaders’ cutting performance in coal measure rocks[J]. Yerbilimleri,2011,32(2): 89-104.
Yazdani-Chamzini A,Razani M,Yakhchali S H,et al. Developing a fuzzy model based on subtractive clustering for road eader performance prediction[J]. Automation in Construction,2013,35: 111-120.