Predictive Maintenance and Fault Detection for Motor Drive Control Systems in Industrial Robots Using CNN-RNN-Based Observers

Predictive Maintenance and Fault Detection for Motor Drive Control Systems in Industrial Robots Using CNN-RNN-Based Observers

This research work presents an integrated method leveraging Convolutional Neural Networks and Recurrent Neural Networks (CNN-RNN) to enhance the accuracy of predictive maintenance and fault detection in DC motor drives of industrial robots. We propose a new hybrid deep learning framework that combin...

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Bibliographic Details
Main Authors:	Chanthol Eang, Seungjae Lee
Format:	Article
Language:	English
Published:	MDPI AG 2024-12-01
Series:	Sensors
Subjects:	fault detection CNN-LSTM CNN-RNN DC motor drives industrial robots
Online Access:	https://www.mdpi.com/1424-8220/25/1/25
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