Study on identification of coalrock interface based on acoustic emission signal
Author:
Affiliation:

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

Clc Number:

TD67;TN911.73

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    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.

    Reference
    Related
    Cited by
Get Citation
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:
  • Revised:
  • Adopted:
  • Online: July 20,2017
  • Published: