摘要
介绍了矿井胶带机火灾的发火现状、矿井火灾的危害,阐述了模糊神经网络算法在胶带机火灾探测中的应用原理。通过综合考虑温度、温度变化率、CO体积分数、CO体积分数变化率4个变量,采用ANFIS系统对胶带机火灾进行探测研究。仿真结果,表明模糊神经网络算法在矿井胶带机火灾信号处理中的应用非常必要——可进一步提前报警时间,提高报警的灵敏度及可靠性。
The current state of conveyor belt fire and harm caused by the fire are discussed in this paper. The principles of fuzzy neural network in detecting conveyor belt fire are told. The experiment result of simulating shows that it is necessary to use fuzzy neural network algorithm to process conveyer belt fire signal since using this method will advance the time of alarm and enhance the sensitivity and reliability enormously.
出处
《宁波职业技术学院学报》
2008年第5期39-43,共5页
Journal of Ningbo Polytechnic
