Research Article
A Method for Detecting Incipient Faults in Satellites Based on Dynamic Linear Discriminant Analysis
Table 2
Comparison of fault detection performance for three faults.
| Evaluation index | IForest | OCSVM | KNN | LOF | HBOS | | PCA + SPE | PCA + CI | Proposed method |
| FDR for (%) | 85.75 | 41.61 | 91.57 | 91.8 | 83.63 | 90.27 | 45.39 | 90.00 | 88.66 | FAR for (%) | 5.37 | 5.31 | 6.07 | 6.49 | 5.96 | 5.68 | 5.61 | 5.64 | 4.95 | F1 for | 0.896 | 0.517 | 0.926 | 0.926 | 0.881 | 0.921 | 0.589 | 0.920 | 0.916 | AUC for | 0.964 | 0.791 | 0.977 | 0.976 | 0.957 | 0.978 | 0.804 | 0.978 | 0.976 | FDR for (%) | 5.80 | 45.07 | 6.49 | 6.76 | 6.19 | 5.65 | 6.11 | 5.94 | 99.47 | FAR for (%) | 5.37 | 5.13 | 5.85 | 6.34 | 5.71 | 5.10 | 5.87 | 5.75 | 4.86 | F1 for | 0.103 | 0.533 | 0.115 | 0.118 | 0.110 | 0.101 | 0.108 | 0.106 | 0.973 | AUC for | 0.511 | 0.794 | 0.522 | 0.516 | 0.509 | 0.507 | 0.537 | 0.517 | 0.998 | FDR for (%) | 5.42 | 59.44 | 6.40 | 6.74 | 5.81 | 5.53 | 6.90 | 6.84 | 99.96 | FAR for (%) | 5.48 | 5.37 | 5.92 | 6.14 | 5.79 | 5.40 | 5.70 | 5.54 | 5.07 | F1 for | 0.097 | 0.659 | 0.113 | 0.118 | 0.103 | 0.099 | 0.121 | 0.121 | 0.975 | AUC for | 0.506 | 0.856 | 0.522 | 0.514 | 0.503 | 0.500 | 0.560 | 0.523 | 1.000 |
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