Fault diagnosis of engine mission using modified Elman neural network

Yu guo Wu, C. Song, Li Ping Shi
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Abstract

Based on the fault diagnosis system of engine mission and Elman neural network, it analyses the shortage diagnosis of Elman network, and puts forward the modified Elman network, and applied in fault diagnosis of engine mission. By using conventional “frequency domain” analysis method, modified Elman networks fault diagnosis of engine mission is carried out. It is proved that fault diagnosis of engine mission based on neural networks has upper precision and diagnosed engine mission, improved effectiveness and quality of diagnosis.
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基于改进Elman神经网络的发动机任务故障诊断
以发动机任务故障诊断系统和Elman神经网络为基础,分析了Elman网络诊断的不足,提出了改进的Elman网络,并将其应用于发动机任务故障诊断。利用传统的“频域”分析方法,对发动机任务进行了改进的Elman网络故障诊断。结果表明,基于神经网络的发动机任务故障诊断具有较高的诊断精度和诊断效果,提高了诊断的有效性和质量。
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