針對單個神經(jīng)網(wǎng)絡的不足，以信息融合技術為基礎，建立了集成神經(jīng)網(wǎng)絡故障診斷系統(tǒng)。該系統(tǒng)采用子神經(jīng)網(wǎng)絡從不同側面對設備進行初步診斷，然后將各子神經(jīng)網(wǎng)絡進行決策融合。通過對汽輪發(fā)電機組的應用仿真，說明該系統(tǒng)充分利用了各種信息，提高了確診率。
關鍵詞：故障診斷；汽輪機組；集成神經(jīng)網(wǎng)絡；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