Name
Abstract | ||
|---|---|---|
In this paper a new approach for safety monitoring of dangerous gases in the industrial plants is proposed. A single artificial neural network is used for determination of the gas concentrations based on sensor array measurements, performing at the same time compensation of the temperature and humidity influence on the sensor outputs. The obtained results show good accuracy in gas concentration estimation, enabling efficient risk warning. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/SAS.2016.7479862 | 2016 IEEE Sensors Applications Symposium (SAS) |
Keywords | Field | DocType |
artificial neural networks,environmental monitoring,soft sensors,safety | Computer science,Sensor array,Real-time computing,Safety monitoring,Artificial neural network,Gas concentration,Temperature measurement | Conference |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zlatica Marinkovic | 1 | 1 | 2.78 |
| Aleksandar Atanaskovic | 2 | 0 | 0.34 |
| Maria Gabriella Xibilia | 3 | 56 | 13.66 |
| C. Pace | 4 | 129 | 19.43 |
| mariangela latino | 5 | 4 | 1.61 |
| nicola donato | 6 | 5 | 8.47 |