Research Article
Fault Diagnosis to Nuclear Power Plant System Based on Time-Series Convolution Neural Network
Table 1
Fault category, coding, and parameters.
| | Condition type | Numbers | Label | Fault setting in PCTran |
| | 1. Normal state | 2107 | 10000000000 | ā0
0
0
0
0
0
0
0
0 | | 2. Heat pipe water loss accident | 2107 | 01000000000 | 1% of 100cm2
1
0
0
0
0
0
0
0
0
0 | | 3. Cold pipe water loss accident | 2107 | 00100000000 | 1% of 100cm2
0
1
0
0
0
0
0
0
0
0 | | 4. Steam pipeline inside containment | 2107 | 00010000000 | 1% of 100cm2
0
0
1
0
0
0
0
0
0 | | 5. Steam pipeline outside containment | 2107 | 00001000000 | 5% of 100cm2
0
0
0
1
0
0
0
0
0
0 | | 6. Water supply accident | 2107 | 00000100000 | -0
0
0
0
1
0
0
0
0
0 | | 7. Main steam isolation valve closed | 2107 | 00000010000 | -0
0
0
0
0
1
0
0
0
0 | | 8. Coolant pump rotor stuck | 2107 | 00000001000 | -0
0
0
0
0
0
1
0
0
0 | | 9. Turbine accident shutdown | 2107 | 00000000100 | -0
0
0
0
0
0
0
1
0
0 | | 10. Steam pipe A pipe broken | 2107 | 00000000010 | 1% of 100cm2
0
0
0
0
0
0
0
0
1
0 | | 11. Steam pipe B pipe broken | 2107 | 00000000001 | 1% of 100cm2
0
0
0
0
0
0
0
0
0
1 |
|
|
