Prediction of remaining useful life using the CNN-GRU network: A study on maintenance management
Adryan Fitra Azyus, Sastra Kusuma Wijaya, Mohd Naved
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.
Topics & Concepts
Computer scienceSoftwareData scienceDeep learningArtificial intelligenceSoftware engineeringData miningReliability engineeringMachine learningEngineeringOperating systemReliability and Maintenance OptimizationMachine Fault Diagnosis TechniquesSoftware Reliability and Analysis Research