Research Article
A Dynamic Health Assessment Approach for Shearer Based on Artificial Immune Algorithm
Table 1
Normalized data of pattern objects for shearer.
| Number | | | | | | | | | | Categories |
| 1 | 0.226 | 0.515 | 0.485 | 0.559 | 0.539 | 0.455 | 0.568 | 0.298 | 0.338 | | 2 | 0.194 | 0.540 | 0.485 | 0.557 | 0.535 | 0.455 | 0.565 | 0.287 | 0.328 | | 3 | 0.168 | 0.577 | 0.494 | 0.486 | 0.480 | 0.458 | 0.565 | 0.291 | 0.335 | | 4 | 0.167 | 0.562 | 0.485 | 0.513 | 0.496 | 0.458 | 0.565 | 0.290 | 0.338 | |
⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | 185 | 0.257 | 0.509 | 0.494 | 0.461 | 0.489 | 0.458 | 0.565 | 0.296 | 0.343 | | 186 | 0.258 | 0.519 | 0.506 | 0.471 | 0.497 | 0.455 | 0.565 | 0.295 | 0.343 | | 187 | 0.000 | 0.485 | 0.497 | 0.444 | 0.432 | 0.458 | 0.570 | 0.309 | 0.329 | | 188 | 0.227 | 0.503 | 0.488 | 0.417 | 0.422 | 0.458 | 0.568 | 0.281 | 0.327 | | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | 354 | 0.350 | 0.519 | 0.491 | 0.459 | 0.450 | 0.458 | 0.565 | 0.284 | 0.329 | | 355 | 0.858 | 0.552 | 0.821 | 0.531 | 0.704 | 0.458 | 0.570 | 0.301 | 0.350 | | 356 | 0.000 | 0.485 | 0.497 | 0.444 | 0.432 | 0.458 | 0.570 | 0.309 | 0.329 | | 357 | 0.408 | 0.522 | 0.497 | 0.455 | 0.445 | 0.458 | 0.568 | 0.280 | 0.327 | | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | 587 | 0.000 | 0.485 | 0.497 | 0.444 | 0.432 | 0.458 | 0.570 | 0.309 | 0.329 | | 588 | 0.773 | 0.556 | 0.990 | 0.659 | 0.653 | 0.458 | 0.568 | 0.304 | 0.348 | | 589 | 0.850 | 0.503 | 0.907 | 0.630 | 0.619 | 0.458 | 0.568 | 0.301 | 0.348 | | 590 | 0.854 | 0.540 | 0.861 | 0.587 | 0.635 | 0.458 | 0.568 | 0.303 | 0.349 | | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | 753 | 0.943 | 0.506 | 0.509 | 0.816 | 0.783 | 0.461 | 0.570 | 0.311 | 0.359 | | 754 | 0.950 | 0.509 | 0.707 | 0.630 | 0.619 | 0.458 | 0.568 | 0.301 | 0.348 | | 755 | 0.000 | 0.481 | 0.497 | 0.445 | 0.432 | 0.458 | 0.570 | 0.313 | 0.352 | | 756 | 0.000 | 0.494 | 0.497 | 0.449 | 0.431 | 0.458 | 0.570 | 0.313 | 0.352 | | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | 893 | 0.042 | 0.491 | 0.497 | 0.386 | 0.329 | 0.458 | 0.570 | 0.294 | 0.339 | | 894 | 0.151 | 0.494 | 0.491 | 0.405 | 0.419 | 0.458 | 0.570 | 0.290 | 0.342 | | 895 | 0.950 | 0.494 | 0.503 | 0.708 | 0.724 | 0.461 | 0.570 | 0.296 | 0.354 | | 896 | 0.399 | 0.488 | 0.491 | 0.389 | 0.393 | 0.458 | 0.570 | 0.288 | 0.338 | | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | 1072 | 0.950 | 0.506 | 0.506 | 0.621 | 0.783 | 0.461 | 0.570 | 0.297 | 0.358 | | 1073 | 0.948 | 0.506 | 0.500 | 0.695 | 0.658 | 0.461 | 0.570 | 0.298 | 0.358 | | 1074 | 0.950 | 0.509 | 0.707 | 0.630 | 0.619 | 0.458 | 0.568 | 0.301 | 0.348 | | 1075 | 0.854 | 0.506 | 0.920 | 0.587 | 0.635 | 0.458 | 0.568 | 0.303 | 0.349 | | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | 1200 | 0.347 | 0.500 | 0.475 | 0.535 | 0.534 | 0.464 | 0.527 | 0.298 | 0.326 | |
|
|