Digital Twin-Based Monitoring System of Induction Motors Using IoT Sensors and Thermo-Magnetic Finite Element Analysis

Electric induction motors are the type of motor most commonly operated in industry, and for this reason technologies that predict faults and reduce the corrective maintenance are of great interest. In this context, this paper presents a predictive maintenance tool of electric motors using the concep...

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Veröffentlicht in:	IEEE access 2023, Vol.11, p.1682-1693
Hauptverfasser:	Santos, Jhennifer F. Dos, Tshoombe, Bendict K., Santos, Lucas H. B., Araujo, Ramon C. F., Manito, Allan R. A., Fonseca, Wellington S., Silva, Marcelo O.
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer simulation Condition monitoring Data models digital twin Digital twins Electric motors Errors finite element analysis Finite element method Induction motors Industrial applications Internet of Things Magnetic flux Magnetic induction Monitoring Numerical models Predictive maintenance Sensors Temperature measurement Temperature sensors
Online-Zugang:	Volltext
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