A Cutting Pattern Recognition Method for Shearers Based on Improved Ensemble Empirical Mode Decomposition and a Probabilistic Neural Network

A Cutting Pattern Recognition Method for Shearers Based on Improved Ensemble Empirical Mode Decomposition and a Probabilistic Neural Network

In order to guarantee the stable operation of shearers and promote construction of an automatic coal mining working face, an online cutting pattern recognition method with high accuracy and speed based on Improved Ensemble Empirical Mode Decomposition (IEEMD) and Probabilistic Neural Network (PNN) i...

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Bibliographic Details
Main Authors: Jing Xu, Zhongbin Wang, Chao Tan, Lei Si, Xinhua Liu
Format: Article
Language:English
Published: MDPI AG 2015-10-01
Series:Sensors
Subjects:
cutting pattern recognition
coal mining
sound signal
Improved Ensemble Empirical Mode Decomposition
intrinsic mode function
Probabilistic Neural Network
Online Access:http://www.mdpi.com/1424-8220/15/11/27721

Internet

http://www.mdpi.com/1424-8220/15/11/27721

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