A Hybrid TCN–BiLSTM–Attention Framework for Turboshaft Engine Performance Prediction
Prediction of turboshaft engine performance parameters is essential for engine health management, however, traditional physics-based models and shallow neural networks struggle to effectively model the complex nonlinear characteristics of time-series data. To overcome these limitations, a hybrid model integrating a Tem...