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.
Titolo: | A Neural Network Approach for Safety Monitoring Applications |
Autori: | |
Data di pubblicazione: | 2016 |
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. |
Handle: | http://hdl.handle.net/11570/3086252 |
ISBN: | 978-1-4799-7250-0 |
Appare nelle tipologie: | 14.d.3 Contributi in extenso in Atti di convegno |
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