Research Article
Rolling Bearing Fault Diagnosis under Variable Conditions Using Hilbert-Huang Transform and Singular Value Decomposition
Table 3
Elman neural network recognition results.
| Sequence | State | Operating condition | Target output | Actual output of network |
| 1 | Normal | (1750 r/min, 2 HP) | (1 0 0 0) | 0.993781 | | 0.043759 | 0.001039 |
| 2 | Inner-race fault | (1720 r/min, 3 HP) | (0 1 0 0) | 0.0072 | 0.9910 | 0.0072 | 0.0070 | 3 | (1750 r/min, 2 HP) | (0 1 0 0) | 0.0067 | 0.9885 | 0.0078 | 0.0079 | 4 | (1772 r/min, 1 HP) | (0 1 0 0) | | 0.999569 | | 0.078958 | 5 | (1797 r/min, 0 HP) | (0 1 0 0) | 0.0067 | 0.9883 | 0.0078 | 0.0080 |
| 6 | Outer-race fault | (1720 r/min, 3 HP) | (0 0 1 0) | 0.000413 | 0.100543 | 0.990864 | | 7 | (1750 r/min, 2 HP) | (0 0 1 0) | | 0.0155 | 0.9845 | 0.0128 | 8 | (1772 r/min, 1 HP) | (0 0 1 0) | 0.000264 | 0.007905 | 0.997584 | 0.000573 | 9 | (1797 r/min, 0 HP) | (0 0 1 0) | | 0.0109 | 0.9900 | 0.0112 |
| 10 | Rolling element fault | (1720 r/min, 3 HP) | (0 0 0 1) | 0.0051 | 0.000405 | 0.0109 | 0.9866 | 11 | (1750 r/min, 2 HP) | (0 0 0 1) | 0.0051 | 0.000236 | 0.0117 | 0.9898 | 12 | (1772 r/min, 1 HP) | (0 0 0 1) | 0.0064 | 0.000245 | 0.0100 | 0.9899 | 13 | (1797 r/min, 0 HP) | (0 0 0 1) | 0.0100 | 0.000583 | 0.0072 | 0.9815 |
|
|