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Intelligent joint cutting strategy and method for roadheader combining LSTM deep learning and fuzzy inference control

Excavating coal mine roadways is the most hazardous and challenging aspect of underground production. While intelligent fully mechanized mining faces have advanced, the intelligentization of roadway excavation has been slow, resulting in a “mining-excavation imbalance” that hinders efficient and int...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Pengjiang WANG, Yang SHEN, Kai ZONG, Dongjie WANG, Xiaodong JI, Miao WU
Format: Artigo
Sprache:Chinês
Veröffentlicht: Editorial Office of Journal of China Coal Society 2024-12-01
Schriftenreihe:Meitan xuebao
Schlagworte:
roadheader
intelligent cutting
lstm neural network algorithm
fuzzy control
joint control
Online-Zugang:http://www.mtxb.com.cn/article/doi/10.13225/j.cnki.jccs.2023.1612
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