Research Article
Simultaneous-Fault Diagnosis of Automotive Engine Ignition Systems Using Prior Domain Knowledge and Relevance Vector Machine
Table 9
Simultaneous fault diagnosis under
-measure with classifiers trained with single faults (with DK + WPT + PCA and
= 0.7147).
| Test dataset (simultaneous faults only) | Classification technique | Fault 2 | Fault 3 | Fault 5 | Fault 6 | Fault 7 | Fault 8 | Fault 9 | Fault 10 |
| Faults (2, 6) | PNN | 0.6917 | — | — | 0.6848 | — | — | — | — | RVM | 0.7128 | — | — | 0.7067 | — | — | — | — | PCRVM | 0.7435 | — | — | 0.7392 | — | — | — | — | Faults (5, 7) | PNN | — | — | 0.7321 | — | 0.7054 | — | — | — | RVM | — | — | 0.7522 | — | 0.7214 | — | — | — | PCRVM | — | — | 0.7926 | — | 0.7557 | — | — | — | Faults (3, 10) | PNN | — | 0.8003 | — | — | — | — | — | 0.4854 | RVM | — | 0.7943 | — | — | — | — | — | 0.6159 | PCRVM | — | 0.7844 | — | — | — | — | — | 0.6995 | Faults (2, 5, 9) | PNN | 0.7434 | — | 0.7457 | — | — | — | 0.6809 | — | RVM | 0.7123 | — | 0.7359 | — | — | — | 0.7256 | — | PCRVM | 0.7847 | — | 0.7858 | — | — | — | 0.7704 | — | Faults (3, 8, 10) | PNN | — | 0.6842 | — | — | — | 0.7118 | — | 0.6803 | RVM | — | 0.6724 | — | — | — | 0.7319 | — | 0.6931 | PCRVM | — | 0.7349 | — | — | — | 0.7828 | — | 0.6993 |
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—: Indicates that the probability is lower than and hence ignored.
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