Research Article
State Diagnosis of Elevator Control Transformer over Vibration Signal Based on MEA-BP Neural Network
Table 6
Diagnostic accuracy of the models for different operating states after 30 independent runs.
| Algorithm | Normal | High-order harmonic state | Winding fault | Core fault | Mean | Min | Max | Mean | Min | Max | Mean | Min | Max | Mean | Min | Max |
| WP-BPNN | 0.843 | 0.833 | 0.875 | 0.841 | 0.832 | 0.877 | 0.837 | 0.830 | 0.874 | 0.841 | 0.829 | 0.877 | WP-MEA-BPNN | 0.877 | 0.869 | 0.884 | 0.874 | 0.862 | 0.883 | 0.871 | 0.863 | 0.884 | 0.876 | 0.835 | 0.885 | EWP-BPNN | 0.849 | 0.837 | 0.881 | 0.892 | 0.887 | 0.902 | 0.891 | 0.886 | 0.900 | 0.889 | 0.842 | 0.893 | EWP-MEA-BPNN | 0.910 | 0.905 | 0.915 | 0.908 | 0.904 | 0.913 | 0.907 | 0.903 | 0.912 | 0.905 | 0.899 | 0.917 |
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