針對(duì)單個(gè)神經(jīng)網(wǎng)絡(luò)的不足，以信息融合技術(shù)為基礎(chǔ)，建立了集成神經(jīng)網(wǎng)絡(luò)故障診斷系統(tǒng)。該系統(tǒng)采用子神經(jīng)網(wǎng)絡(luò)從不同側(cè)面對(duì)設(shè)備進(jìn)行初步診斷，然后將各子神經(jīng)網(wǎng)絡(luò)進(jìn)行決策融合。通過(guò)對(duì)汽輪發(fā)電機(jī)組的應(yīng)用仿真，說(shuō)明該系統(tǒng)充分利用了各種信息，提高了確診率。
關(guān)鍵詞：故障診斷；汽輪機(jī)組；集成神經(jīng)網(wǎng)絡(luò)；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