模糊神经网络诊断模型理论及应用研究
A Study on Fuzzy Neural Network Diagnosis Modelling
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摘要: 本文基于通用神经网络的自适应性和诊断的建模方法, 建立了一种新的故障诊断模型—模糊神经网络诊断模型, 并对它的智能诊断机理和突出特点进行了深入分析。最后, 将该诊断模型应用于某大型汽轮发电机组故障诊断中, 分析得出它具有明显的提高诊断精确度的优越性。Abstract: A fuzzy neural network diagnosis model is established,based on adaptive dynamic performance of the generalized neural network and methods of diagnosis modelling.Its intelligent diagnosis mechanism and outstanding characteristics are elaborated.In the end,this model has been applied to the fault diagnosis of a large turbine generator set,the results show that it features a high diagnostic precision.
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Key words:
- fault diagnosis /
- neural network /
- dynamics
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