Research Article
A Novel Multimode Fault Classification Method Based on Deep Learning
Table 2
Data description of in dataset for a given mode.
| Dataset for different fault location | Dataset for different fault severity | Sample number More/fewer | Fault type | Fault size /mm |
| | | 200/100 | Normal (N) | 0.000 |
| | | 200/100 | Inner race fault (IF) | 0.007 | | 200/100 | Inner race fault (IF) | 0.014 | | 200/100 | Inner race fault (IF) | 0.021 |
| | | 200/100 | Outer race fault (OF) | 0.007 | | 200/100 | Outer race fault (OF) | 0.014 | | 200/100 | Outer race fault (OF) | 0.021 |
| | | 200/100 | Roller fault (RF) | 0.007 | | 200/100 | Roller fault (RF) | 0.014 | | 200/100 | Roller fault (RF) | 0.021 |
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