Title :
Application of Neural Network as Oxygen Virtual Sensor in Utility Boiler
Author :
Honggang Wang ; Xu Fu ; Yuyang Zhou
Author_Institution :
Syst. Integration & Anal. Lab., GE Global Res., Shanghai, China
Abstract :
Combustion process in utility boiler is very complicated and not fully understood until now. One operating challenge in boiler operation is the unreliable oxygen sensor could result in flame extinction of burners. An on-line virtual sensor is desirable for the unreliable oxygen sensor. This work elaborates how to build a Neural Network-based oxygen virtual sensor by make full use of the mass data available in DCS and prior knowledge for selecting model inputs. The framework can be easily transplanted to other similar applications.
Keywords :
boilers; combustion; flue gases; gas sensors; neural nets; steam power stations; virtual instrumentation; coal-fired power plant; combustion process; flame extinction; flue gases; neural network based oxygen virtual sensor; online virtual sensor; utility boiler; Artificial neural networks; Coal; Combustion; Data models; Mathematical model; Testing; Training; combustion optimization; neural network; utility boiler; virtual sensor;
Conference_Titel :
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2014 Sixth International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4799-4956-4
DOI :
10.1109/IHMSC.2014.82
