Table 4 Sample Input-Output Data Structure.

From: Deep recurrent neural networks for water hammer transient prediction and dynamic protection optimization in long distance pipelines

Time (s)

Sensor 1 (MPa)

Sensor 2 (MPa)

…

Sensor 10 (MPa)

Output:sensor 3 at t + 5s (MPa)

0.000

1.250

1.185

…

0.875

-

0.001

1.251

1.186

…

0.876

-

0.002

1.252

1.187

…

0.877

-

…

…

…

…

…

…

25.000

1.847

1.923

…

1.456

2.134 (target)