A new technique for validating supervisory control and data acquisition (SCADA) data from water distribution systems is
proposed. This technique borrows from state estimation, where inconsistencies between
measured and computed state parameters are resolved. The proposed Unified Hydraulic
Solver (UHS) data validation technique extends state estimation by differentiating between
white noise and gross errors. Measurements are systematically excluded from the UHS
formulation, thereby allowing the detection of gross errors. This approach clearly
outperforms state estimation when gross errors are present in the pseudo-measurements
of demand. The UHS data validation technique is demonstrated by application to a water
distribution network. Includes 8 references, tables, figure.
| Edition : | Vol. - No. |
| File Size : | 1
file
, 320 KB |
| Note : | This product is unavailable in Ukraine, Russia, Belarus |
| Number of Pages : | 10 |
| Published : | 10/01/2003 |
