Paper achievements
- Composite multivariate multi-scale permutation entropy and Laplacian score-based fault diagnosis of rolling bearing
- 一种时移多尺度排列熵与ELM相结合的滚动轴承故障诊断方法
- 基于复合多尺度排列熵与FO-SVM的滚动轴承故障诊断方法
- Double-Path Residual Network with Attention Mechanism and Bidirectional Gated Recurrent Unit and its Application in Planetary Gear Fault Classification
- Time-Shift Multi-scale weighted permutation entropy and GWO-SVM based fault diagnosis approach for rolling bearing
- Rotating Machinery Fault Classification Based on One-Dimension ResNet with Attention Mechanism and Bidirectional Gate Unit
- Non-negative Wavelet Matrix Factorization-based Bearing Fault Intelligent Classification Method
- An Intelligent Bearing Fault Diagnosis Framework: One Dimensional Improved Self Attention-enhanced CNN and Empirical Wavelet Transform
- Composite multi-scale weighted permutation entropy and extreme learning machine based intelligent fault diagnosis for rolling bearing
- Triplet Attention-enhanced Residual Tree-inspired Decision Network: A Hierarchical Fault Diagnosis Model for Unbalanced Bearings Datasets
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