基于信息融合技术的烟气轮机故障诊断系统研究

Research on Fault Diagnosis System of Stack Gas Turbine Based on Multi-sensor Information Fusion Algorithm

为保障烟气轮机的安全可靠运行,实现科学维护,采用了多传感器信息融合技术的故障诊断方法。通过提取烟气轮机上携带故障特征的多类信息,并在决策层上采用神经网络与D-S证据理论相结合的方法对这些信息进行有效的融合。

To ensure the safe and reliable operation of a gas turbine,the paper adopted the muhi-sensor data fusion technology fault diagnosis method. By extracting the fault characteristics of the gas turbine information and using the combination of neural network theory with the D-S evidence,information can be fused effectively in decision-making.