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 is classified. The application of multisensor data fusion technology in power plant condition monitoring and fault diagnosis is demonstrated. Based on D-S evidence theory, based on fuzzy theory, neural network, expert system-based diagnostic methods were introduced one by one, and pointed out the advantages and disadvantages of various methods. Finally, an integrated diagnosis method based on multi-sensor data fusion technology is introduced, and the development trend of multi-sensor data fusion technology in power plant condition monitoring and fault diagnosis is pointed out.