Title :
Study on online judgement model of boiler combustion stability
Author :
Feng, Xue ; Hang, Xiaobin ; Wang, Yuzhu
Author_Institution :
Energy & Power Eng. Sch., North China Electr. Power Univ., Baoding, China
Abstract :
In this paper,seven parameters were selected as judgement indexes. The model of improved fuzzy neural network and single factor veto has been established that was applied to online judgement of boiler combustion stability. The function of single factor veto can realize judgments when anyone of those factors can determine the stability of boiler combustion, so the judgement model is more rational. Through the neural network learning of the system, the learning samples of module were selected, and the network is trained and verified successfully.
Keywords :
boilers; combustion; fuzzy neural nets; learning (artificial intelligence); mechanical engineering computing; mechanical stability; boiler combustion stability; fuzzy neural network; judgement index; neural network learning; online judgement model; single factor veto; Boilers; Coal; Combustion; Fuzzy neural networks; Power system stability; Stability analysis; Thermal stability; BP algorithm; combustion stability; fuzzy neural network; single factor veto;
Conference_Titel :
Electrical and Control Engineering (ICECE), 2011 International Conference on
Conference_Location :
Yichang
Print_ISBN :
978-1-4244-8162-0
DOI :
10.1109/ICECENG.2011.6057184
