《机床与液压》 Hydromechatronics Engineering

文章详情

稿件标题: The research on aero-engine gas path fault diagnosis by genetic algorithm-BP neural network*
稿件作者: 瞿红春,黄远强
关键字词: Aero-engine; , Gas path fault diagnosis; , Genetic algorithm; , BP neural network;
文章摘要: In order to improve the accuracy rate of aero-engine gas-path fault diagnosis based on BP neural network, this research uses the genetic algorithm to optimize the initial weights and thresholds of BP neural network in their solution space. , Rretrains the results by gradient descent algorithm and uses the optimized network to testify the fault samples. The result shows that GA-BP network has a higher precision, and converges faster, and its convergence curve is smoother than that of the common BP network. This work can put forward new ideas and methods for aero-engine fault diagnosis and has a certain research value.
收录刊物: 2015.18
稿件基金:
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