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Research on visual optimization design of machine–machine interface for mechanical industrial equipment based on nonlinear partial equations

Yan Yan
Yan Yan
, 
Bin Zeng
Bin Zeng
, 
Fahad Abdullah Alqurashi
Fahad Abdullah Alqurashi
 and 
Samer M. Shorman
Samer M. Shorman
   | Dec 13, 2021
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Published Online: Dec 13, 2021
Page range: 571 - 580
Received: Jun 17, 2021
Accepted: Sep 24, 2021
DOI: https://doi.org/10.2478/amns.2021.2.00075
Keywords
© 2021 Yan Yan et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.

Fig. 1

Area of center of gravity design analysis.
Area of center of gravity design analysis.

Fig. 2

Broken line diagram.
Broken line diagram.

Fig. 3

Two-dimensional distribution matrix of scatter of perceptual information.
Two-dimensional distribution matrix of scatter of perceptual information.

Scaling methods for judging matrix elements.

Scale Meaning
1 Indicates that two factors are of equal importance compared to each other
3 One factor is slightly more important than the other factor, in a comparison of the two factors
5 It means that one factor is obviously more important than the other
7 One factor is more important than the other
9 One factor is more important than the other
2, 4, 6, 8 The median of the two adjacent judgments above
Reciprocal The judgment of the comparison between Factor I and J · aij is the judgment of the comparison between Factor J and I · aJI = 1/AIJ

Factor analysis.

Perceptual information Factor
1 2 3 4
A8 0.976 0.075 −0.005 −0.027
A9 0.976 0.075 −0.005 −0.027
A19 0.974 0.050 −0.107 0.087
A13 0.974 0.050 −0.107 0.087
A27 0.951 −0.132 0.112 0.004
A15 0.951 −0.132 0.112 0.004
A29 0.948 0.057 −0.044 0.019
A11 0.940 0.087 −0.137 0.069
A21 0.899 −0.066 −0.368 −0.100
A6 0.859 0.162 0.372 −0.131
A17 0.859 0.162 0.372 −0.131
A25 780 −0.882 −0.331 0.142
A12 0.777 0.882 −0.589 0.109
A16 0.777 −0.844 −0.589 0.109
A3 0.644 −0.844 0.446 −0.227
A14 0.644 0.837 0.446 −0.227
A18 0.492 0.837 0.298 0.258
A23 0 088 0.685 0.291 0.131
A28 0.088 0.685 0.291 0.131
A22 −0.051 0.141 0.670 0.179
A10 −0.051 0.060 0.670 0.179
A24 0.007 0.060 0.536 0.293
A20 0.007 −0.426 0.487 0.293
Al −0.166 −0.426 0.487 0.142
A7 −0.166 −0.240 0.410 0.640
A5 0.148 −0.067 0.410 0.447
A4 0.312 0.312 0.373 0.434
A26 0.108 0.312 0.373 0.418
A2 −0.085 0.061 −0.158 −0.328

Variance contribution rate.

Component Total Percentage variance of initial eigenvalues Cumulative % Total Extract the load squared and variance percentage Cumulative %
1 13.069 45.065 45.065 13.069 45.065 45.065
2 7.461 25.727 70.792 7. 461 25.727 70.792
3 4.237 14.611 85.403 4.237 14.611 85.403
4 1.689 5.824 91.227 1.689 5.824 91.227
5 0.949 3.274 94.501
... ... ... ...
29 −2.357E−1 −8.129E 100.00
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