NDLI: Study on Temperature Prediction of Mine Tape Conveyor Reducer Based On PSO-BP

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Study on Temperature Prediction of Mine Tape Conveyor Reducer Based On PSO-BP

Content Provider	Scilit
Author	Yang, Yong Cui, Chenchen Guo, Xiucai Wang, Qinsheng Ren, Zhiqi
Copyright Year	2019
Description	Journal: Iop Conference Series: Earth and Environmental Science Mining tape Conveyor is an indispensable part of the daily production of coal mines. In order to avoid the fault of mine tape conveyor reducer as far as possible, based on the characteristics of mine tape conveyor system, this paper uses particle swarm algorithm to optimize BP neural network to predict the temperature of the transmission of the belt conveyor. Fuzzy c mean clustering denoising is carried out on the temperature data containing noise in the transmission of tape conveyor, and the temperature data containing noise are identified and the anomaly points are corrected by the characteristic curve. On the basis of temperature data preprocessing, the temperature prediction method of PSO-BP neural network for tape conveyor transmission is proposed. The simulation results show that the temperature prediction model of PSO-BP Neural network has the advantages of higher prediction accuracy and shorter convergence time, and has strong application significance.
Related Links	https://iopscience.iop.org/article/10.1088/1755-1315/252/5/052142/pdf
ISSN	17551307
e-ISSN	17551315
DOI	10.1088/1755-1315/252/5/052142
Journal	Iop Conference Series: Earth and Environmental Science
Issue Number	5
Volume Number	252
Language	English
Publisher	IOP Publishing
Publisher Date	2019-07-09
Access Restriction	Open
Subject Keyword	Journal: Iop Conference Series: Earth and Environmental Science Industrial Engineering Characterization and Testing of Materials Temperature Prediction Mine Tape Conveyor
Content Type	Text
Resource Type	Article
Subject	Earth and Planetary Sciences Physics and Astronomy Environmental Science

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