Research Article
Fault Diagnosis with Evolving Fuzzy Classifier Based on Clustering Algorithm and Drift Detection
Table 4
Fault detection and classification time.
| Scenario | Proposed | Lemos et al. [10] | DDT (s) | IDT (s) | DDT (s) | IDT (s) |
| 3 faults | 0.038 | 0.004 | 0.012 | 0.002 | 5 faults | 0.047 | 0.003 | 0.047 | 0.005 | 7 faults | 0.060 | 0.005 | 0.070 | 0.005 | 9 faults | 0.068 | 0.008 | 0.012 | 0.006 | 11 faults | 0.086 | 0.024 | 0.072 | 0.016 |
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