Aeroengine Life Prediction Method Based on IPSO-Att-TCN
In order to improve the prediction accuracy of the remaining useful life of aeroengine,a Remaining Useful Life(RUL) prediction method based on Improved Particle Swarm Optimization(IPSO) optimized Attention Time Convolutional Network(IPSO-Att-TCN) is proposed.Firstly,the attention mechanism is used to assign weights to the features of each variable.Secondly,the improved particle swarm optimization algorithm is used to optimize the hyperparameters of the attention time convolutional network,and the nonlinear inertia weights are used to improve the global optimization ability of the algorithm.Finally,using the actual remaining service life of C-MAPSS as a reference,the remaining service life prediction results of IPSO-Att-TCN are compared with those of BP,LSTM and GRU.The results show that the proposed mod-el can effectively improve the accuracy of RUL prediction.
万方数据
维普
