Research on Fault Diagnosis of UAV Rotor Motor Bearings Based on WPT-CEEMD-CNN-LSTM

Research on Fault Diagnosis of UAV Rotor Motor Bearings Based on WPT-CEEMD-CNN-LSTM

To address the challenge of extracting adaptive fault features for unmanned aerial vehicle (UAV) rotor motor bearings and to meet the high accuracy requirements of bearing fault diagnosis, this paper proposes a neural network-based bearing fault diagnosis method using WPT-CEEMD-CNN-LSTM. Initially,...

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Bibliographic Details
Main Authors: Xianyi Shang, Wei Li, Fang Yuan, Haifeng Zhi, Zhilong Gao, Min Guo, Bo Xin
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Machines
Subjects:
WPT-CEEMD-CNN-LSTM model
bearing
fault diagnosis
UAV
rotor motor
Online Access:https://www.mdpi.com/2075-1702/13/4/287
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