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基于信息融合技术的汽轮机故障诊断方法
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2009-08-15
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针对单个神经网络的不足，以信息融合技术为基础，建立了集成神经网络故障诊断系统。该系统采用子神经网络从不同侧面对设备进行初步诊断，然后将各子神经网络进行决策融合。通过对汽轮发电机组的应用仿真，说明该系统充分利用了各种信息，提高了确诊率。
关键词：故障诊断；汽轮机组；集成神经网络；信息融合
Abstract：In view of the disadvantage of single neural network, this paper establishes an integrated neural network fault diagnosis system based on information fusion technology. This system uses the sub-neural network to carry on the preliminary diagnosis from the different sides to the equipment, and then carries on the policy-making fusion of each sub-neural network. The simulation of steam turbine generator sets’ fault diagnosis demonstrates that the system takes full advantages of diversified information and improves diagnosis precision.
Key words: fault diagnosis; steam turbine-generator set; integrated neutral network; information fusion
关键词：故障诊断；汽轮机组；集成神经网络；信息融合
Abstract：In view of the disadvantage of single neural network, this paper establishes an integrated neural network fault diagnosis system based on information fusion technology. This system uses the sub-neural network to carry on the preliminary diagnosis from the different sides to the equipment, and then carries on the policy-making fusion of each sub-neural network. The simulation of steam turbine generator sets’ fault diagnosis demonstrates that the system takes full advantages of diversified information and improves diagnosis precision.
Key words: fault diagnosis; steam turbine-generator set; integrated neutral network; information fusion
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