Research Article
Reliable Fault Diagnosis of Rotary Machine Bearings Using a Stacked Sparse Autoencoder-Based Deep Neural Network
Table 2
Description of the experiments performed using data obtained for the different RPM values.
| | Experiment number | Number of samples | Training and testing data RPM |
| | Experiment 1 | Training samples: 468 | Training data RPM: 1722 | | Testing samples: 1404 | Testing data RPM: 1748, 1772, 1796 | | Experiment 2 | Training samples: 468 | Training data RPM: 1748 | | Testing samples: 1404 | Testing data RPM: 1722, 1772, 1796 | | Experiment 3 | Training samples: 468 | Training data RPM: 1772 | | Testing samples: 1404 | Testing data RPM: 1722, 1748, 1796 | | Experiment 4 | Training samples: 468 | Training data RPM: 1796 | | Testing samples: 1404 | Testing data RPM: 1722, 1748, 1772 |
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