Chinese Journal of Ship Research, Volume. 20, Issue 2, 68(2025)
Fault diagnosis of ship motor bearings based on multi-domain information fusion and improved ELM
Figures & Tables(11)
![[in Chinese]](/Images/icon/loading.gif){kind=icon}
Table 1. SWDI values of each symptom parameter
View tableView in ArticleTable 1. SWDI values of each symptom parameter
分析域 特征参数 SWDI值 时域 T1 1 215.3 T2 871.3 T3 748.8 T4 759.7 频域 F1 381.3 F2 317.2 F3 1 488.5 F4 375.0
Table 2. Comparison of diagnostic indicators among different models
View tableView in ArticleTable 2. Comparison of diagnostic indicators among different models
指标 不同诊断模型 改进ELM ELM SVM LSTM CNN 均值 0.928 0.819 0.754 0.858 0.731 方差 0.001 6 0.005 7 0.005 2 0.020 9 0.001 6
Tools
Get Citation
Copy Citation Text
Chun GE, Zaoyu YAN, Jiatong SHANG, Hongtao XUE. Fault diagnosis of ship motor bearings based on multi-domain information fusion and improved ELM[J]. Chinese Journal of Ship Research, 2025, 20(2): 68
Paper Information
Category: Ship Intelligent O&M, and Fault Diagnosis
Received: Jul. 12, 2024
Accepted: --
Published Online: May. 15, 2025
The Author Email:
© Copyright 2018-2021 | Chinese Laser Press.
All Rights Reserved 沪ICP备15018463号-20