Research Article
Graph Feature Fusion-Driven Fault Diagnosis of Complex Process Industrial System Based on Multivariate Heterogeneous Data
Table 4
Experimental results of comparison with different parameter M.
| Parameter M | TEP dataset | FBFP dataset | Accuracy (%) | Time (s) | Accuracy (%) | Time (s) |
| 1 | 83.26 ± 3.53 | 24 | 83.72 ± 3.15 | 17 | 2 | 85.74 ± 2.71 | 51 | 85.24 ± 2.67 | 32 | 3 | 86.91 ± 2.65 | 76 | 87.89 ± 2.13 | 51 | 4 | 89.35 ± 1.88 | 102 | 92.68 ± 1.78 | 69 | 5 | 92.48 ± 1.52 | 130 | 92.62 ± 1.65 | 85 | 6 | 93.16 ± 1.40 | 164 | 92.57 ± 1.47 | 103 | 7 | 92.79 ± 1.34 | 191 | 92.88 ± 1.55 | 119 | 8 | 92.82 ± 0.98 | 223 | 92.74 ± 1.42 | 136 | 9 | 92.54 ± 0.95 | 258 | 92.25 ± 1.49 | 152 |
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