基于CNN-LSTM-Attention模型的湿喷台车泵送系统堵管故障预测方法
王开松,魏一鸣,唐威,郭旭华,李朝阳,邹俊

Fault prediction method of pipeline blockage in wet spray trolley pumping system based on CNN-LSTM-Attention model
Kaisong WANG,Yiming WEI,Wei TANG,Xuhua GUO,Zhaoyang LI,Jun ZOU
表1 降维后的原始数据集示例
Table 1 Examples of original dataset after imensionality reduction
时间泵送压力/MPa泵送速度/(m³/h)速凝剂掺量/(kg/h)
2024-10-10 05:18:018.525.181.6
2024-10-10 05:18:0210.025.180.7
2024-10-10 05:18:0310.225.180.3
2024-10-10 05:18:045.126.381.6
2024-10-10 05:18:059.526.381.6