基于Bi-LSTM的航空发动机寿命预测

Aeronautical Engine Life Prediction Based on Bi-LSTM

针对哪种类型神经网络对航空发动机剩余寿命预测结果更为准确的问题,采用对不同神经网络预测结果比较的方法,通过搭建双向长短时记忆网络预测模型的实验,对网络结构进行过拟合优化和对数据进行预处理后代入模型进行计算,再对长短时记忆网络的结果进行比对。结果表明,双向长短时记忆网络预测效果要比长短时记忆网络有更好的预测能力。

Aiming at the question of which type of neural network is more accurate for predicting the remaining life of aeroengines,the prediction results of different neural networks are used to compare,and the network structure is over-fitted through the experiment of building a two-way long and short-term memory network prediction model.After optimizing and preprocessing the data,bring it into the model for calculation,and then compare the results of the long-and short-term memory network.The results show that the predictive effect of the two-way long-and short-term memory network is better than that of the long-and short-term memory network.