Fault-Diagnosis and Fault-Recovery System of Hall Sensors in Brushless DC Motor Based on Neural Networks †

Fault-Diagnosis and Fault-Recovery System of Hall Sensors in Brushless DC Motor Based on Neural Networks †

This paper proposes a neural-network-based framework using Convolutional Neural Network and Long-Short Term Memory (CNN-LSTM) for detecting faults and recovering signals from Hall sensors in brushless DC motors. Hall sensors are critical components in determining the position and speed of motors, an...

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Bibliographic Details
Main Authors: Chang, Y.C (Author), Chew, K.W (Author), Chu, K.S.K (Author)
Format: Article
Language:English
Published: MDPI 2023
Subjects:
AC motors
Brushless DC motors
Brushless direct current motor
brushless direct current motor (BLDC)
CNNLSTM
Computer system recovery
Convolutional neural network
Convolutional neural networks
Discrete wavelet transforms
Failure analysis
Fault detection
Fault detection systems
fault-detection system
Hall effect transducers
Hall sensor
Long short-term memory
neural network
Neural-networks
Recovery
Recovery systems
Signal reconstruction
Signal recovery
signal-recovery system
Signal-recovery system
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