Real-time detection system for load variation of DC brushed motor based on deep learning-Reference-Cited by-同舟云学术

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Real-time detection system for load variation of DC brushed motor based on deep learning

Published:2024-07-05 Issue: Volume:63 Page:145
ISSN:
Container-title:Third International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024)
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Author:

Lin Yuhang,Wang Xiuping,Chen Jiongyu

Publisher

SPIE

Reference9 articles.

1. Induction motor fault monitoring and fault classification using deep learning probablistic neural network;Hadi Salih;Solid State Technology,2020

2. Deep perceptron neural network with fuzzy PID controller for speed control and stability analysis of BLDC motor

3. Artificial Intelligence-based Technique for Fault Detection and Diagnosis of EV Motors: A Review

4. A sound based method for fault detection with statistical feature extraction in UAV motors

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