Research Article
Multifeatures Fusion and Nonlinear Dimension Reduction for Intelligent Bearing Condition Monitoring
Table 2
The results of different algorithms.
| ā | Proposed method | Proposed | PCA | SVM | Unpretraining | ā | Normal | Early fault | Degeneration | Fault |
| Normal | 0.965 | 0.035 | 0 | 0 | 0.965 | 0.915 | 0.940 | 0.915 | Early | 0.132 | 0.783 | 0.085 | 0 | 0.783 | 0.788 | 0.774 | 0.777 | Degeneration | 0 | 0.004 | 0.982 | 0.014 | 0.982 | 0.950 | 0.935 | 0.960 | Fault | 0 | 0 | 0.048 | 0.952 | 0.952 | 0.922 | 0.933 | 0.922 | Success rate | 0.965 | 0.783 | 0.982 | 0.952 | 0.935 | 0.898 | 0.909 | 0.897 |
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