Research Article
Bispectrum Texture Feature Manifold for Feature Extraction in Rolling Bear Fault Diagnosis
Table 2
The classification accuracy using the proposed method.
| Fault type | Accuracy (%) | Mean (%) | optimal parameter | Fault type | Accuracy (%) | Mean (%) | optimal parameter |
| Healthy | 100 | 99.69 |
| Healthy | 100 | 99.75 |
| IF(0.007) | 100 | IF(0.007) | 98.75 | OF(0.007) | 100 | IF(0.014) | 100 | BF(0.007) | 98.75 | IF(0.021) | 100 | | | IF(0.028) | 100 |
| Fault type | accuracy (%) | Mean (%) | optimal parameter | Fault type | accuracy (%) | Mean (%) | optimal parameter |
| Healthy | 100 | 95.6 |
| Healthy | 100 | 90.5 |
| OF(0.007) | 93.75 | BF(0.007) | 100 | OF(0.014) | 91.25 | BF(0.014) | 87.5 | OF(0.021) | 97.5 | BF(0.021) | 82.5 | | | BF(0.028) | 82.5 |
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