General value functions for fault detection in multivariate time series data

General value functions for fault detection in multivariate time series data

One of the greatest challenges to the automated production of goods is equipment malfunction. Ideally, machines should be able to automatically predict and detect operational faults in order to minimize downtime and plan for timely maintenance. While traditional condition-based maintenance (CBM) inv...

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Bibliographic Details
Main Authors: Andy Wong, Mehran Taghian Jazi, Tomoharu Takeuchi, Johannes Günther, Osmar Zaïane
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-03-01
Series:Frontiers in Robotics and AI
Subjects:
reinforcement learning
general value functions
outlier detection
fault detection
temporal difference (TD) learning
Online Access:https://www.frontiersin.org/articles/10.3389/frobt.2024.1214043/full

Internet

https://www.frontiersin.org/articles/10.3389/frobt.2024.1214043/full

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