Design of non-dispersive infrared (NDIR) SF6 gas monitoring system based on RBF neural network

Design of non-dispersive infrared SF
6
gas on-line monitoring system based on the principle that the measured gas absorbs infrared radiation of a specific wavelength, The good nonlinear mapping and generalization ability of the RBF neural network is used to compensate the measurement error caused by the detection of ambient temperature changes. The experimental results show that the monitoring system can measure the SF
6
gas concentration in real time accurately, quickly and in real time.