Bearing Fault Diagnosis Based on Dual-Branch Multi-Scale CNN-LSTM Feature Fusion

• Published in: 2024 Second International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE) pp. 1 - 6
• Main Authors: Zhang, Tong, Liu, Qingke, Li, Kai, Wang, Nan
• Format: Conference Proceeding
• Language: English
• Published: IEEE 17.05.2024
• Subjects: Accuracy; Bearing fault diagnosis; Convolutional neural network; Convolutional neural networks; Dual-branch; Fault diagnosis; Feature extraction; Long short term memory; Multi-scale; Representation learning; Robustness; Training; Training data; Vibrations

The condition detection and fault diagnosis of bearings are the basis for the smooth operation of rotating machinery. Since the traditional convolutional neural network cannot make full use of the time correlation of the original signal and it is difficult to obtain enough training data under multip...