Prediction of remaining useful life using the CNN-GRU network: A study on maintenance management

Abstract

The CNN-GRU network is an open-source software package for predicting the remaining useful lives (RULs) of systems and components using advanced deep learning techniques. Adopted across various industries, this software enables more accurate and efficient RUL prediction, facilitating data-driven maintenance decisions. This paper discusses ongoing research, limitations, and future improvements aimed at enhancing the software’s accuracy, efficiency, and applicability.