Identification of Shearer Cutting Patterns Using Vibration Signals Based on a Least Squares Support Vector Machine with an Improved Fruit Fly Optimization Algorithm

Identification of Shearer Cutting Patterns Using Vibration Signals Based on a Least Squares Support Vector Machine with an Improved Fruit Fly Optimization Algorithm

Shearers play an important role in fully mechanized coal mining face and accurately identifying their cutting pattern is very helpful for improving the automation level of shearers and ensuring the safety of coal mining. The least squares support vector machine (LSSVM) has been proven to offer stron...

Full description

Bibliographic Details
Main Authors: Lei Si, Zhongbin Wang, Xinhua Liu, Chao Tan, Ze Liu, Jing Xu
Format: Article
Language:English
Published: MDPI AG 2016-01-01
Series:Sensors
Subjects:
shearer cutting pattern identification
least squares support vector machine
fruit fly optimization algorithm
ensemble empirical mode decomposition
feature extraction
Online Access:http://www.mdpi.com/1424-8220/16/1/90

Internet

http://www.mdpi.com/1424-8220/16/1/90

Similar Items