A proximal policy optimization framework for bearing condition monitoring using low-dimensional time-domain features
Journal of Vibration and Control
Published online on April 15, 2026
Abstract
Journal of Vibration and Control, Ahead of Print.
Bearings are essential elements of rotating machinery and their malfunction may result in considerable operational interruptions and financial detriment. This paper investigates Proximal Policy Optimization (PPO), a reinforcement learning (RL) technique, ...
Bearings are essential elements of rotating machinery and their malfunction may result in considerable operational interruptions and financial detriment. This paper investigates Proximal Policy Optimization (PPO), a reinforcement learning (RL) technique, ...