Study on identification of coalrock interface based on acoustic emission signal
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1.College of Mechanical Engineering, Liaoning Technical University, Fuxin 123000, China; 2. State Key Laboratory of Structural Analysis for Industrial Equipment, Dalian University of Technology, Dalian 116023, China; 3. Chongqing University, State Key Laboratory of Mechanical Transmission, Chongqing 400040, China; 4. China National Coal Mining Equipment Co. Ltd., Beijing 100011, China

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TD67;TN911.73

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    Abstract:

    To realize the automatic adjustment controlling the height of the roller in the cutting process of the shearer, a dynamic identification method of coalrock interface based on acoustic emission signal is proposed to test and extract the acoustic emission characteristic signals. Using timedomain analysis method gets the time domain indexes under the different conditions, using wavelet analysis method extracts the coalrock cutting acoustic emission signal characteristic value. The different coalrock cut ratio under the condition of acoustic emission signal optimal membership function is established to dynamic monitoring coal and rock ratio, then the purpose of coalrock interface identification is achieved. The results of laboratory tests show that there is little difference between the trajectory of the roller and the coalrock, and the experimental results verify the accuracy and reliability of the recognition system.

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  • Received:
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  • Online: July 20,2017
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