TY - GEN
T1 - Aeroengine exhaust gas temperature prediction using process neural network with time-varying threshold functions
AU - Ding, Gang
AU - Wang, Xiong Wei
AU - Lei, Da
PY - 2013
Y1 - 2013
N2 - To predict the aeroengine exhaust gas temperature (EGT) more precisely, a process neuron with time-varying threshold function is proposed in this paper, and then the time-varying threshold process neural network model comprised of the presented process neurons is used for EGT prediction. By introducing a group of appropriate orthogonal basis functions, the input functions, the weight functions and the threshold functions of the time-varying threshold process neural network can be expanded as linear combinations of the given orthogonal basis functions, thus to eliminate the integration operation, then to simplify the time aggregation operation. The corresponding learning algorithm is also presented, and the effectiveness of the time-varying threshold process neural network model is evaluated through the prediction of EGT series from practical aeroengine condition monitoring.
AB - To predict the aeroengine exhaust gas temperature (EGT) more precisely, a process neuron with time-varying threshold function is proposed in this paper, and then the time-varying threshold process neural network model comprised of the presented process neurons is used for EGT prediction. By introducing a group of appropriate orthogonal basis functions, the input functions, the weight functions and the threshold functions of the time-varying threshold process neural network can be expanded as linear combinations of the given orthogonal basis functions, thus to eliminate the integration operation, then to simplify the time aggregation operation. The corresponding learning algorithm is also presented, and the effectiveness of the time-varying threshold process neural network model is evaluated through the prediction of EGT series from practical aeroengine condition monitoring.
KW - Exhaust gas temperature prediction
KW - Learning algorithm
KW - Orthogonal basis function
KW - Time-varying threshold function
KW - Time-varying threshold process neural network
UR - https://www.scopus.com/pages/publications/84886263247
U2 - 10.4028/www.scientific.net/AMM.423-426.2341
DO - 10.4028/www.scientific.net/AMM.423-426.2341
M3 - 会议稿件
AN - SCOPUS:84886263247
SN - 9783037858882
T3 - Applied Mechanics and Materials
SP - 2341
EP - 2346
BT - Applied Materials and Technologies for Modern Manufacturing
T2 - 3rd International Conference on Applied Mechanics, Materials and Manufacturing, ICAMMM 2013
Y2 - 24 August 2013 through 25 August 2013
ER -