Research Article
Prediction of Automatic Scram during Abnormal Conditions of Nuclear Power Plants Based on Long Short-Term Memory (LSTM) and Dropout
Table 1
The monitoring parameters used in the training and testing of the proposed prediction model.
| No. | Parameters | Unit |
| V01 | Coolant flow rate of loop 1 | kg/s | V02 | Coolant flow rate of loop 2 | kg/s | V03 | Hot leg coolant temperature of loop 1 | °C | V04 | Hot leg coolant temperature of loop 2 | °C | V05 | Cold leg coolant temperature of loop 1 | °C | V06 | Cold leg coolant temperature of loop 2 | °C | V07 | Steam generator pressure of loop 1 | MPa | V08 | Steam generator pressure of loop 2 | MPa | V09 | Steam generator narrow range water level of loop 1 | m | V10 | Steam generator narrow range water level of loop 2 | m | V11 | Steam generator feed water flow rate of loop 1 | kg/s | V12 | Steam generator feed water flow rate of loop 2 | kg/s | V13 | Main feed water temperature of the steam generator 1 | °C | V14 | Main feed water temperature of the steam generator 2 | °C | V15 | Steam generator outlet steam flow rate of loop 1 | kg/s | V16 | Steam generator outlet steam flow rate of loop 2 | kg/s | V17 | Steam generator outlet steam temperature of loop 1 | °C | V18 | Steam generator outlet steam temperature of loop 2 | °C | V19 | Pressurizer pressure | MPa | V20 | Pressurizer water level | m | V21 | Pressurizer steam temperature | °C | V22 | Pressurizer water temperature | °C |
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