Research Article
A Diagnosis Framework for High-reliability Equipment with Small Sample Based on Transfer Learning
Table 4
Accuracy of diagnosis with different data filtering methods.
| | Model | Accuracy |
| | Proposed model (LLE+CNN+JDA) | 87.3±0.5% | | PCA+CNN+JDA | 65.7±0.7% | | K-Means+CNN+JDA | 68.6±0.4% | | DBSCAN+CNN+JDA | 77.6±0.4% | | GMM+CNN+JDA | 85.2±0.6% | | BIRCH+CNN+JDA | 71.4±0.7% |
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