文章基本信息

标题：Study on Fault Diagnosis of Mining Tape Conveyor Based on MPGA-BP
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作者：Yong Yang ; Chenchen Cui ; Xiucai Guo 等
期刊名称：IOP Conference Series: Earth and Environmental Science
印刷版ISSN：1755-1307
电子版ISSN：1755-1315
出版年度：2019
卷号：252
期号：5
页码：1-8
DOI：10.1088/1755-1315/252/5/052039
出版社：IOP Publishing
摘要：In order to detect the malfunction of the mine tape transporter drive device imely, a fault diagnosis model of mine tape transporter based on multiple group genetic neural networks is established by combining multiple swarm genetic algorithms with BP neural network algorithm. The simulation results show that the algorithm can effectively solve the problems such as the easy fall of BP neural network into local minimum value and too many training times, which leads to too slow convergence. The fault diagnosis model has strong global search ability, high training precision and fast convergence speed, and can supplement and perfect the protection system of mine tape conveyor.