工矿自动化2012，Vol.38Issue(9)：70-74,5.
基于神经网络的带式输送机火灾预警算法
Fire Pre-warning Algorithm of Belt Conveyor Based on Neural Network
摘要
Abstract
In order to solve the problem of high alarming error rate of traditional fire pre-warning algorithms of belt conveyor which alarm according to single characteristic signal, a fire pre-warning algorithm of belt conveyor was proposed which combines the traditional fire alarming algorithms with neural network. The individual characteristic variables extracted by the traditional algorithms are used as inputs of neural network, and the neural network is trained by use of sample data measured in laboratory. The output of the neural network is the final output of the fire pre-warning algorithm. The experimental result showed that the algorithm can effectively identify fire pre-alarming status of the sample data with low error rate.关键词
带式输送机/火灾预警/分布式光纤测温/神经网络/信息融合Key words
belt conveyor/ fire pre-warning/ distributed fiber temperature measuring/ neural network/ information fusion分类
矿业与冶金引用本文复制引用
樊荣,侯媛彬,张代,刘海洋..基于神经网络的带式输送机火灾预警算法[J].工矿自动化,2012,38(9):70-74,5.基金项目
陕西省自然科学基金项目(2009JK571) （2009JK571）
