摘要
对多传感器数据融合技术的应用进行了分类,展现了现有的多传感器数据融合技术在电厂状态监测和故障诊断中应用的方法。对基于D-S证据理论,基于模糊理论,基于神经网络,基于专家系统的诊断方法进行了逐一介绍,指出了各种方法的优缺点。最后介绍了基于多传感器数据融合技术的综合诊断方法,指出了多传感器数据融合技术在电厂状态监测和故障诊断中应用的发展趋势。
The application of multisensor data fusion technology was classified,the method of current multisensor data fusion technology applied to state monitoring and fault diagnosis of power plant was showed.The methods based on D-S evidence theory,based on fuzzy theory,based on neural network,and based on expert system were introduced and pointed out their advantages and disadvantages.Finally comprehensive diagnosis methods of multisensor data fusion technology were introduced,development tendency of multisensor data fusion technology applied to state monitoring and fault diagnosis of power plant was pointed.
出处
《煤矿机械》
北大核心
2011年第11期271-273,共3页
Coal Mine Machinery
关键词
多传感器
数据融合
电厂
状态监测
故障诊断
multisensor technology
data fusion
power plant
state monitoring
fault diagnosis
