Abstract: AbstractThis paper presents a novel framework for optimizing aeroengine maintenance strategies, addressing the limitations of traditional approaches that rely on simplified degradation models and fixed inspection intervals. ...

Abstract: AbstractThis study presents TEBA-Net, an advanced deep learning model for simultaneous prediction of NOx and SO2 emissions from coal-fired combined heat and power (CHP) plants. The model integrates temporal convolutional ...