Preventive Maintenance Techniques Through Learning-based Remaining Useful Lifetime Prediction in IoT Sensor Networks: the Survey.

In this paper, various remaining useful life (RUL) studies were investigated to implement a prognostics and health management (PHM) system that monitors and predicts failures of machines using vast industrial data obtained through the development of IoT. We introduce prediction techniques and analyze cases applied to the aviation and shipping industries to investigate RUL technology that can be applied to various industries in the future.