Research Article
Theory and Numerical Analysis of Extreme Learning Machine and Its Application for Different Degrees of Defect Recognition of Hoisting Wire Rope
Table 5
The characteristic samples of MFL signals of broken wires.
| | | | | |
| 1 | 0.274 | 0.572 | 0.321 | 1 | 2 | 0.267 | 0.592 | 0.311 | 1 | 3 | 0.258 | 0.502 | 0.325 | 1 | 4 | 0.345 | 0.632 | 0.442 | 2 | 5 | 0.324 | 0.616 | 0.431 | 2 | 6 | 0.317 | 0.634 | 0.421 | 2 | 7 | 0.495 | 0.772 | 0.599 | 3 | 8 | 0.494 | 0.796 | 0.560 | 3 | 9 | 0.501 | 0.762 | 0.551 | 3 | 10 | 0.591 | 0.857 | 0.709 | 4 | 11 | 0.599 | 0.856 | 0.706 | 4 | 12 | 0.603 | 0.861 | 0.713 | 4 | 13 | 0.751 | 0.887 | 0.819 | 5 | 14 | 0.769 | 0.886 | 0.836 | 5 | 15 | 0.743 | 0.891 | 0.813 | 5 |
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