Research Article
Fault Diagnosis with Evolving Fuzzy Classifier Based on Clustering Algorithm and Drift Detection
Table 3
Fault classification performance.
| Scenario | Proposed | Lemos et al. [10] | FIR (%) | OIR (%) | FIR (%) | OIR (%) |
| 3 faults | 99.75 | 0.05 | 99.77 | 0.11 | 5 faults | 99.71 | 0.05 | 98.65 | 0.23 | 7 faults | 99.76 | 0.03 | 98.39 | 0.19 | 9 faults | 95.12 | 0.05 | 94.39 | 0.14 | 11 faults | 94.39 | 0.05 | 90.85 | 0.38 |
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