Fire Pre-warning Algorithm of Belt Conveyor Based on Neural Network
-
摘要: 针对传统的带式输送机火灾预警算法大多仅根据单一特征信号进行火灾预警而导致误报率较高的问题，提出了一种传统火灾预警算法与神经网络相结合的带式输送机火灾预警算法。该算法将多种传统火灾预警算法提取的单一特征变量作为神经网络的输入量，利用实验室所测得的样本数据来训练神经网络，并将神经网络的输出作为火灾预警算法的最终输出。实验结果表明，该算法能够有效识别出样本数据中的火灾预警状态，误报率低。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.
-
-
期刊类型引用(5)
1. 陈盈宜，潘丽敏，叶勇，李君，黄光文. 基于SVM算法的超声波速度-土壤含水率估计模型. 华中农业大学学报. 2024(02): 247-253 . 
百度学术
2. 韩世礼，肖健，柳位. 机器学习在地球物理勘探中铀矿资源勘查的应用研究进展. 铀矿地质. 2024(03): 555-564 . 百度学术
3. 魏礼鹏，鹿伟强，于铄航，陈雯雅，张珂. 基于SA-PSO的煤矿小功率电机故障诊断研究. 煤矿机械. 2024(07): 174-176 . 百度学术
4. 宋成林，黄晓冉，邢帅，芦楠楠. 基于隐半马尔可夫模型的微震信号分割方法. 中国科技论文. 2024(08): 868-876 . 百度学术
5. 王志坚，芦盛亮，李钢，查颖，蔡宏伟，韩大永. 基于现场矿压显现的微震预警指标研究. 煤炭与化工. 2023(06): 82-84+88 . 百度学术
其他类型引用(1)
计量
- 文章访问数: 40
- HTML全文浏览量: 12
- PDF下载量: 6
- 被引次数: 6
下载:
