A learning-based approach to fault detection and fault-tolerant control of permanent magnet DC motors

A learning-based approach to fault detection and fault-tolerant control of permanent magnet DC motors

Abstract In the context of Industry 4.0, which prioritizes intelligent and efficient solutions for industrial systems, this paper introduces an innovative methodology for fault detection and fault-tolerant control of DC motors. Leveraging the capabilities of machine learning and reinforcement learni...

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Bibliographic Details
Main Authors: Abolghasem Sardashti, Jamal Nazari
Format: Article
Language:English
Published: SpringerOpen 2023-09-01
Series:Journal of Engineering and Applied Science
Subjects:
Fault detection
Fault tolerant control
DC motor
Reinforcement learning
Mahalanobis distance
Online Access:https://doi.org/10.1186/s44147-023-00279-5

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