Name
Abstract | ||
|---|---|---|
The fuel tank autocalibration problem is an important issue in managing the amount of fuel stored in the tank. Current values are calculated basing on fuel sold going out through nozzles - dispensing and fuel pumped into the tank by a tanker delivered. The difference in these values may point to different reasons - leakage, theft, or other errors. To pinpoint the cause it is important to rule out the case of wrong tank calibration, hence the tank autocalibration method is required. In this paper we present autocalibration method based on a neural networks algorithm, along with method's drawbacks and an alternative calibration method proposition. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1007/978-3-319-27161-3_65 | ICA3PP (Workshops and Symposiums) |
Keywords | Field | DocType |
Autocalibration,Petrol tanks calibration,Neural networks,Leak detection,Inventory reconciliation | Gasoline,Automotive engineering,Leakage (electronics),Computer science,Simulation,Artificial neural network,Fuel tank,Nozzle,Calibration,Leak detection,Distributed computing | Conference |
Volume | ISSN | Citations |
9532 | 0302-9743 | 2 |
PageRank | References | Authors |
0.42 | 4 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marcin Gorawski | 1 | 243 | 36.46 |
| Mirosław Skrzewski | 2 | 20 | 4.22 |
| Michal Gorawski | 3 | 39 | 7.00 |
| Anna Gorawska | 4 | 19 | 4.35 |