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集成神经网络在设备诊断中的应用 被引量:3

An Application of Integrated Neural Networks to Fault Diagnosis
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摘要 本文从诊断工程实际出发 ,从信息融合的角度提出了集成神经网络的概念 ,并讨论了实现的策略。诊断实例表明 ,集成神经网络的建立 ,充分利用了各种信息 。 Based on signal type and different feature vectors. we put forward the idea of integrated neural networks from the view of data fusion. Integrated neural networks are composed of three-level serial networks, and the second level network is composed of a single parallel network. Data distribution network carry out the task of data location. Diagnosis networks carry out the task of networks training and diagnosing. Decision-making and fusion network receives diagnosing conclusions and fuses them. Application show that integrated neural networks are quite efficient in fault diagnosis.
出处 《机械科学与技术》 EI CSCD 北大核心 2001年第4期638-640,共3页 Mechanical Science and Technology for Aerospace Engineering
关键词 集成神经网络 信息融合 神经网络 设备诊断 Integrated neural networks Data fusion Fault diagnosis
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