A ResNet-based deep reinforcement learning framework using soft actor-critic for remaining useful life prediction of rolling bearings

A ResNet-based deep reinforcement learning framework using soft actor-critic for remaining useful life prediction of rolling bearings

Accurately predicting the Remaining Useful Life (RUL) of machinery plays important role for implementing effective predictive maintenance strategies and reducing downtime. However, many existing data-driven approaches rely heavily on supervised learning and treat RUL estimation as a direct regressio...

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Bibliographic Details
Main Authors: Thanh Tung Luu, Duy An Huynh
Format: Article
Language:English
Published: Elsevier 2025-09-01
Series:Results in Engineering
Subjects:
Autoencoder
Residual networks
Reinforcement learning
Soft actor-critic
Remaining useful life (RUL)
Online Access:http://www.sciencedirect.com/science/article/pii/S2590123025028063
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