基于支持向量机的瓦斯抽放监控系统故障诊断

Fault diagnosis of gas drainage monitoring system based on support vector machine

提出一种基于支持向量机实现瓦斯抽放监控系统故障诊断的方法。首先总结归纳系统故障类别,然后,选择多项式核函数进行系统参数样本数据训练,建立分类器。通过白皎矿实时监测数据验证,说明此方法故障诊断定位准确,能够保障煤矿瓦斯抽放系统安全维护和运行。

This paper presents a method of fault diagnosis of gas drainage monitoring system based on support vector machine. Firstly summarizes the induction system fault categories,polynomial kernel function is selected and the system parameters are trained to build the classifier. Through real time monitoring data processing of Baijiao Coal Mine,it is proved that this method is accurate in fault diagnosis,and can ensure the safety maintenance and operation of mine gas drainage system.