基于模糊判据的煤岩性状截割硬度识别

针对现有煤岩性状识别方法不能满足采煤机滚筒实现自动调高技术的需要，提出了基于模糊判据的煤岩性状截割硬度识别研究方法，克服了识别煤岩性状截割硬度依赖滚筒振动信号或截割电机信号等单一传感器信息判据的不全面、不可靠等问题，利用多传感器信息融合的模糊集合隶属函数，根据摇臂振动信号两层小波包分解各个频段能量特征向量和采煤机感知煤岩硬度关系公式，采用加权平均法求解隶属度作为煤岩性状截割硬度因子判别煤岩性状的依据，定义表征煤岩性状的截割硬度因子q，其数值计算通过求解煤岩性状模糊集隶属度μQ(u)获得。煤矿井下实测数据表明煤岩性状截割硬度模糊集合的方法更贴近实际采掘煤岩工况，为实现滚筒自动识别煤岩性状控制摇臂自动调高奠定模糊理论基础。

Recognition of cutting hardness of coal rock properties based on fuzzy criteria

The current recognition methods of coal and rock properties cannot meet the needs of automatic adjustment of shearer drum height.This paper put forward a method for recognizing coal and rock hardness factor characters based on fuzzy criterion，and overcome the problems that the criterion of recognizing the coal and rock characteristics relying on single sensor information is not comprehensive and reliable.According to the radial vibration signals of two layers wavelet packet decomposition of each frequency band energy feature vector and the hardness of coal mining machine perception relation formula，a fuzzy membership function was built.Refer to membership degree as the coal and rock characteristics of cutting coal and rock hardness factor distinguishing traits by using the weighted average method，the coal and rock properties characterization cutting hardness factor q was defined，and its value was equal to the coal and rock characteristics of fuzzy membership degree.The measured data show that the characteristics of coal cutting hardness of the fuzzy set method is more close to actual mining coal and rock conditions.In order to realize the automatic recognition of coal and rock properties for automatically controlling the roller rocker arm height adjustment，the study establishes the fuzzy theory foundation.