Fault Detection for Motor Drive Control System of Industrial Robots Using CNN-LSTM-based Observers

Fault Detection for Motor Drive Control System of Industrial Robots Using CNN-LSTM-based Observers

The complex working conditions and nonlinear characteristics of the motor drive control system of industrial robots make it difficult to detect faults. In this paper, a deep learning-based observer, which combines the convolutional neural network (CNN) and the long short-term memory network (LSTM),...

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Bibliographic Details
Main Authors: Tao Wang, Le Zhang, Xuefei Wang
Format: Article
Language:English
Published: China Electrotechnical Society 2023-06-01
Series:CES Transactions on Electrical Machines and Systems
Subjects:
fault detection
motor drive control system
deep learning
cnn-lstm
industrial robot
Online Access:https://ieeexplore.ieee.org/document/10032059

Internet

https://ieeexplore.ieee.org/document/10032059

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