Distributed Attention-Based Temporal Convolutional Network for Remaining Useful Life Prediction

Massive industrial data collected from the Industrial Internet-of-Things (IIoT) assets improve data-driven methods for prognostics and health management (PHM) systems. As an important role in PHM, remaining useful life (RUL) prediction is essential to maintain the reliability and safety of industrial manufacture. However, recent data-driven approaches for bearing RUL prediction do not weight the c...