Health index degradation prediction of induction motor using deep neural network algorithm

•A deep neural network-based self-designed model predicts the health status of the motor.•Multiple sensors deployed on the motor provide continuous data for pre-processing and feature extraction.•The effectiveness of the model's accuracy and low mean square loss results show visible improvement...

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Veröffentlicht in:	Results in engineering Jg. 25; S. 104357
Hauptverfasser:	Amin, Arslan Ahmed, Alsuwian, Turki, Shahid, Aiman, Waseem, Saba
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.03.2025 Elsevier
Schlagworte:	Degradation modeling Fault classification Health index prediction Machine Health Estimation Machine Learning Fault classification Machine Learning Health index prediction Machine Health Estimation Degradation modeling
ISSN:	2590-1230, 2590-1230
Online-Zugang:	Volltext
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