Acoustic-Based Cutting Pattern Recognition for Shearer through Fuzzy C-Means and a Hybrid Optimization Algorithm

Acoustic-Based Cutting Pattern Recognition for Shearer through Fuzzy C-Means and a Hybrid Optimization Algorithm

As the conventional cutting pattern recognition methods for shearer are huge in size, have low recognition reliability and an inconvenient contacting measurement method, a fast and reliable coal-rock cutting pattern recognition system is always a baffling problem worldwide. However, the recognition...

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Bibliographic Details
Main Authors:	Jing Xu, Zhongbin Wang, Jiabiao Wang, Chao Tan, Lin Zhang, Xinhua Liu
Format:	Article
Language:	English
Published:	MDPI AG 2016-10-01
Series:	Applied Sciences
Subjects:	cutting pattern recognition acoustic signal fuzzy C-means clustering hybrid optimization fruit fly optimization algorithm genetic algorithm genetic proportion coefficient
Online Access:	http://www.mdpi.com/2076-3417/6/10/294

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