Deep-learning-based design of active fault-tolerant control for automated manufacturing systems subjected to faulty sensors

This research paper proposes a new implementation of a long short-term memory network for active fault-tolerant control subjected to single and multiple undiagnosable sensor faults. There are two networks used: the first performs as a diagnosis for automated manufacturing systems and can identify fa...

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Veröffentlicht in:	Transactions of the Institute of Measurement and Control 2024-08, Vol.46 (12), p.2289-2299
Hauptverfasser:	El-Mahdy, Mostafa H, Awad, Mohammed I, Maged, Shady A
Format:	Artikel
Sprache:	eng
Schlagworte:	Active control Automatic control Control systems Fault detection Fault diagnosis Fault tolerance Manufacturing Materials handling Sensors
Online-Zugang:	Volltext
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