Research Article
Bearing Fault Diagnosis in the Mixed Domain Based on Crossover-Mutation Chaotic Particle Swarm
Table 4
Classification accuracy of the three diagnosis models.
| Fault type | Bearing fault label | Number of training samples | Number of test samples | Classifier type | PSO-SVM (%) | CPSO-SVM (%) | CMCPSO-SVM (%) |
| BR | 1 | 25 | 25 | 88 | 100 | 100 | LBR | 2 | 25 | 25 | 92 | 88 | 96 | OR | 3 | 25 | 25 | 92 | 88 | 100 | LOR | 4 | 25 | 25 | 84 | 92 | 100 | IR | 5 | 25 | 25 | 80 | 80 | 100 | LIR | 6 | 25 | 25 | 92 | 96 | 96 | Total/average | - | 150 | 150 | 88 | 90.51 | 98.67 |
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