Research Article
Fault Identification of Rotor System Based on Classifying Time-Frequency Image Feature Tensor
Table 2
Recognition results of rotor states.
| State | Test sample number | Right recognized results | Wrong recognized results | Recognition rate |
| (a) | 387 | 385 | 2 | 99.48% | (b) | 382 | 374 | 8 | 97.91% | (c) | 362 | 362 | 0 | 100% | (d) | 375 | 375 | 0 | 100% | (e) | 377 | 376 | 1 | 99.73% | (f) | 381 | 377 | 4 | 98.95% | (g) | 369 | 369 | 0 | 100% | (h) | 367 | 367 | 0 | 100% |
| Total number | 3000 | 2985 | 15 | 99.50% |
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