DQLAP: Deep Q-Learning Recommender Algorithm with Update Policy for a Real Steam Turbine System

In modern industrial systems, diagnosing faults in time and using the best methods becomes more and more crucial. It is possible to fail a system or to waste resources if faults are not detected or are detected late. Machine learning and deep learning have proposed various methods for data-based fau...

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Veröffentlicht in:	arXiv.org 2022-10
Hauptverfasser:	Modirrousta, M H, Shoorehdeli, M Aliyari, Yari, M, Ghahremani, A
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Back propagation Back propagation networks Deep learning Fault detection Fault diagnosis Machine learning Multilayers Neural networks Steam turbines
Online-Zugang:	Volltext
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