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1)  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。
2)  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。
3)  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。
4)  coal rock detection
煤矸识别
1.
Based on the physical phenomenon that the amount of the gamma ray radiation in rock is different from the amount of the gamma ray radiation in coal,the paper puts forward the method for coal rock detection in top coal caving.
基于岩层与煤层中存在的自然γ射线具有显著差异的特性 ,提出了用自然γ射线方法解决综采放顶煤开采放煤过程煤矸识别问题 ;分析了煤矿煤岩中自然γ射线分布特征及该方法的适用性 ;探讨了动态煤矸分界监测可行性和顶煤落放规律对煤矸识别的影
5)  coal level recognition
煤位识别
6)  fuel tracing
煤种识别
补充资料:半煤岩巷掘进
      见煤巷掘进。
  

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