Prediction of mechanical characteristics of shearer intelligent cables under bending conditions

Saved in:

Bibliographic Details
Published in:	PLoS One vol. 20, no. 2 (Feb 2025), p. e0318767
Main Author:	Zhao, Lijuan
Other Authors:	Wang, Dongyang, Lin, Guocong, Tian, Shuo, Zhang, Hongqiang, Wang, Yadong
Published:	Public Library of Science
Subjects:	Mechanical properties Bending fatigue Mines Coal mining Accuracy Data processing Deep learning Fiber optics Predictive control Service life Long short-term memory Optical memory (data storage) Time series Prediction models Efficiency Optical properties Machine learning Cables Fault diagnosis Network reliability Root-mean-square errors Neural networks Bending machines Working conditions Optical fibers Conductors Information processing Coal mines Safety management Environmental
Online Access:	Citation/Abstract Full Text Full Text - PDF
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!