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机构地区:[1]湖南科技大学机电工程学院,湖南湘潭市411201 [2]中南大学机电工程学院,湖南长沙410083
出 处:《矿业研究与开发》2010年第5期64-67,共4页Mining Research and Development
基 金:国家自然科学基金项目(50774032);湖南省教育厅重点科研项目(07A018);湖南省自然科学基金项目(07JJ5074)
摘 要:冲击凿岩过程中钎头与岩石相互作用状态的准确辨识是提高凿岩穿孔速度、实现凿岩过程全自动最优控制的关键之一。基于D-S证据理论,将冲击凿岩机的穿孔速度轴推力和钻具扭矩等信号进行多源信息融合处理,提出了冲击凿岩状态多源信息融合辨识方法,算例结果证明,该方法得到的辨识结果相比利用单一信息进行辨识的结果随着融合信息的增加,越来越准确可靠。3个传感器信息融合的信任区间为[0.919,0.925],明显比利用单一信息辨识的结果更准确可靠。The accurate identification of the interaction conditions of drill bit and rock during percussive drilling of rock is one of the key factors for the increase of penetration rate and the implementation of the automatic optimal control of drilling.Based on D-S evidence theory an identification method of percussive drilling conditions of rock by fusion processing of multi-source information,including the penetration rate,feed force and rotational torque of percussion drill,is proposed.The results of example calculation proved that the result of identification is more accurate and reliable as the increasing of fused information,the credential interval of identification result by fusion processing of information from three sensing elements is from 0.919 to 0.925,the identification result obviously is more accurate and reliable than that obtained by single information.
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