Research Article
Reliability Assessment of CNC Machining Center Based on Weibull Neural Network
Table 2
Parameters estimation results of WNN.
| Nodes | Parameters | | | |
| 1 | 0.044068 | 0.955932 | 9.033967 | 1.551175 | 2637.021 | 693.5101 | 2 | 0.959583 | 0.040417 | 1.455573 | 24.94987 | 667.7464 | 2845.028 | 3 | 0.082716 | 0.917284 | 10.44422 | 1.39166 | 2747.245 | 653.5588 | 4 | 0.068718 | 0.931282 | 14.46845 | 1.367156 | 2747.849 | 537.2695 | 5 | 0.94974 | 0.05026 | 1.306634 | 24.94987 | 723.8985 | 2466.681 | 6 | 0.056699 | 0.943301 | 10.93411 | 1.494548 | 2760.401 | 663.9032 | 7 | 0.025545 | 0.974455 | 13.8031 | 1.403081 | 2557.15 | 624.5496 | 8 | 0.085692 | 0.914308 | 13.55691 | 1.369662 | 2819.825 | 579.1172 | 9 | 0.107066 | 0.892934 | 19.14584 | 1.43281 | 2736.786 | 654.4722 | 10 | 0.068432 | 0.931568 | 13.75564 | 1.550829 | 2724.443 | 634.1239 | 11 | 0.936825 | 0.063175 | 1.331295 | 13.47746 | 604.2012 | 2860.957 | 12 | 0.055034 | 0.944966 | 13.10611 | 1.355398 | 2797.873 | 606.5653 | 13 | 0.896614 | 0.103386 | 1.347853 | 16.53756 | 671.6885 | 2674.685 | 14 | 0.041398 | 0.958602 | 16.30011 | 1.426415 | 2814.403 | 684.1883 | 15 | 0.086068 | 0.913932 | 11.68258 | 1.546744 | 2662.409 | 713.4144 | 16 | 0.053959 | 0.946041 | 12.07066 | 1.454367 | 2669.093 | 679.6944 | 17 | 0.066304 | 0.933696 | 17.7975 | 1.531203 | 2817.255 | 722.0759 | 18 | 0.932007 | 0.067993 | 1.664349 | 15.259 | 694.9488 | 2750.57 | 19 | 0.119909 | 0.880091 | 16.52835 | 1.397195 | 2816.441 | 706.3912 | 20 | 0.08975 | 0.91025 | 16.62012 | 1.656576 | 2582.263 | 597.3034 | 21 | 0.941526 | 0.058474 | 1.561535 | 24.89791 | 716.9525 | 2864.898 | 22 | 0.960506 | 0.039494 | 1.735449 | 24.94987 | 674.279 | 2433.25 | 23 | 0.106106 | 0.893894 | 13.30659 | 1.350209 | 2830.795 | 590.5806 | 24 | 0.119571 | 0.880429 | 13.3864 | 1.459669 | 2582.189 | 577.6149 | 25 | 0.922893 | 0.077107 | 1.451593 | 13.29719 | 620.3416 | 2750.541 | 26 | 0.96321 | 0.03679 | 1.448205 | 12.71502 | 649.7289 | 2833.593 | 27 | 0.947078 | 0.052922 | 1.34193 | 24.94987 | 698.0294 | 2464.589 | 28 | 0.945748 | 0.054252 | 1.35939 | 13.40081 | 617.7688 | 2778.687 | 29 | 0.079954 | 0.920046 | 11.68818 | 1.854535 | 2766.994 | 667.8148 | 30 | 0.960552 | 0.039448 | 1.693323 | 17.84738 | 672.5292 | 2629.48 | 31 | 0.627252 | 0.372748 | 1.576105 | 2.480788 | 923.7622 | 283.3751 | 32 | 0.053352 | 0.946648 | 17.31282 | 1.544846 | 2786.179 | 719.6491 | 33 | 0.961311 | 0.038689 | 1.683207 | 12.15247 | 686.9369 | 2510.049 | 34 | 0.881935 | 0.118065 | 1.508832 | 12.78487 | 651.8541 | 2706.579 | 35 | 0.039565 | 0.960435 | 18.62358 | 1.588752 | 2760.565 | 645.8836 | 36 | 0.921309 | 0.078691 | 1.503808 | 22.29027 | 678.9718 | 2808.833 | 37 | 0.958295 | 0.041705 | 1.535188 | 16.46958 | 743.197 | 2781.517 | 38 | 0.931281 | 0.068719 | 1.631859 | 13.85231 | 652.3391 | 2772.066 | 39 | 0.912698 | 0.087302 | 1.593501 | 14.62023 | 696.2038 | 2602.976 | 40 | 0.350292 | 0.649708 | 2.550637 | 1.42347 | 284.9288 | 958.2812 | 41 | 0.787888 | 0.212112 | 1.515084 | 1.854923 | 554.2234 | 1567.009 | 42 | 0.980145 | 0.019855 | 1.586655 | 24.94987 | 678.2233 | 2932.822 | 43 | 0.063178 | 0.936822 | 13.20558 | 1.394374 | 2851.574 | 645.8096 | 44 | 0.028453 | 0.971547 | 11.44262 | 1.525982 | 2573.366 | 627.3912 | 45 | 0.87827 | 0.12173 | 1.284063 | 5.906063 | 753.368 | 177.2281 | 46 | 0.058714 | 0.941286 | 10.43322 | 1.472725 | 2659.111 | 612.2541 | 47 | 0.922711 | 0.077289 | 1.62935 | 15.13635 | 690.0196 | 2786.844 | 48 | 0.95051 | 0.04949 | 1.543645 | 24.94987 | 650.0357 | 2715.602 | 49 | 0.96071 | 0.03929 | 1.499167 | 22.50363 | 630.3924 | 2831.961 | 50 | 0.922835 | 0.077165 | 1.420721 | 11.26682 | 618.792 | 2585.095 | 51 | 0.072285 | 0.927715 | 13.29679 | 1.309585 | 2727.193 | 631.4372 |
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