1) coal-rock interface recognition
煤岩界面识别
1.
The principle of coal-rock interface recognition by monitoring cutting state is expatiated.
阐述了通过截割状态监测进行煤岩界面识别的原理。
2.
The coal-rock interface recognition is a key to realization of auto-steering of shearer drum.
煤岩界面识别是实现采煤机滚筒自动调高的关键之一,本文讨论基于多传感器信息融合的煤岩界面识别方法。
2) coal-rock interface recognition(CIR)
煤岩界面识别
1.
In this thesis, the theory and method of coal-rock interface recognition(CIR) based on multi-sensor data fusion technique are investigated systematically.
本文对基于多传感器数据融合技术的煤岩界面识别的理论与方法进行了较为系统的研究。
3) coal-rock interface recognition
煤岩识别
1.
Finally,the paper propose a method of detecting the cutting coal-rock state by using Support Vector Machines(SVM)which provide the theoretical basis of the development of simple practical coal-rock interface recognition devices.
针对通过对伽马射线进行监测煤岩识别易受煤中夹杂物干扰和地质条件的限制的缺点,提出利用滚筒截割力响应来进行煤岩识别,但滚筒截割力响应受到煤炭破裂形式及其工作环境的影响而表现出多种形态,基于单一小波基的小波包分析难于处理这样的多态问题。
4) coal-rock interface
煤岩界面
1.
Forecast of coal-rock interface based on neural network and dempster-shafter theory;
基于神经网络和Dempster-Shafter信息融合的煤岩界面预测
2.
This article mainly discussed the use of BP neural network in coal-rock interface recognition.
主要论述了BP网络在煤岩界面识别中的应用,根据本问题的特点设计了BP网络结构,并提出了一种改进的BP算法,使收敛速度加快,性能有所提高。
6) sensor of coal and rock interface
煤岩界面传感器
补充资料：半煤岩巷掘进
见煤巷掘进。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条