Prediction of mechanical characteristics of shearer intelligent cables under bending conditions

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Bibliographische Detailangaben
Veröffentlicht in:	PLoS One vol. 20, no. 2 (Feb 2025), p. e0318767
1. Verfasser:	Zhao, Lijuan
Weitere Verfasser:	Wang, Dongyang, Lin, Guocong, Tian, Shuo, Zhang, Hongqiang, Wang, Yadong
Veröffentlicht:	Public Library of Science
Schlagworte:	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-Zugang:	Citation/Abstract Full Text Full Text - PDF
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