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Table 3

Optimum sensor placement in anytown WDS from simplified approach

Sensors numberNode ID of pressure sensorsVariance of residuals (m2)
1 90 156.68 
2 90, 130 117.50 
3 90,130,30 97.50 
4 90,130,30,100 91.57 
5 90,130,30,100,80 85.56 
6 90,130,30,100,80,70 83.18 
7 90,130,30,100,80,70,140 81.45 
8 90,130,30,100,80,70,140,40 80.01 
9 90,130,30,100,80,70,140,40,160 79.11 
10 90,130,30,100,80,70,140,40,160,50 78.62 
11 90,130,30,100,80,70,140,40,160,50,110 78.21 
12 90,130,30,100,80,70,140,40,160,50,110,150 77.92 
13 90,130,30,100,80,70,140,40,160,50,110,150,60 77.66 
14 90,130,30,100,80,70,140,40,160,50,110,150,60,120 77.48 
15 90,130,30,100,80,70,140,40,160,50,110,150,60,120,170 77.35 
16 90,130,30,100,80,70,140,40,160,50,110,150,60,120,170, 20 77.33 
Sensors numberNode ID of pressure sensorsVariance of residuals (m2)
1 90 156.68 
2 90, 130 117.50 
3 90,130,30 97.50 
4 90,130,30,100 91.57 
5 90,130,30,100,80 85.56 
6 90,130,30,100,80,70 83.18 
7 90,130,30,100,80,70,140 81.45 
8 90,130,30,100,80,70,140,40 80.01 
9 90,130,30,100,80,70,140,40,160 79.11 
10 90,130,30,100,80,70,140,40,160,50 78.62 
11 90,130,30,100,80,70,140,40,160,50,110 78.21 
12 90,130,30,100,80,70,140,40,160,50,110,150 77.92 
13 90,130,30,100,80,70,140,40,160,50,110,150,60 77.66 
14 90,130,30,100,80,70,140,40,160,50,110,150,60,120 77.48 
15 90,130,30,100,80,70,140,40,160,50,110,150,60,120,170 77.35 
16 90,130,30,100,80,70,140,40,160,50,110,150,60,120,170, 20 77.33 
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