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  A feature extraction method based on composite multi-scale permutation entropy and Laplacian score for shearer cutting state recognition
 
 
Title: A feature extraction method based on composite multi-scale permutation entropy and Laplacian score for shearer cutting state recognition
Author: Si, Lei
Wang, Zhongbin
Tan, Chao
Liu, Xinhua
Appeared in: Measurement
Paging: Volume 145 (2019) nr. C pages 84-93
Year: 2019
Contents:
Publisher: Elsevier Ltd
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 4 of 85 found articles
 
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