TY - GEN
T1 - Prediction model of centrifugal fan performance based on BP neural network
AU - Zhang, Lei
AU - Hu, Chenxing
AU - Zhang, Qian
PY - 2013
Y1 - 2013
N2 - In view of the G4-73 type backward centrifugal fan widely used in power plant, training samples for orthogonal test is conducted. A Centrifugal fan performance parameters prediction model based on BP neural network is built. Through the contraction between the predictive value and samples, the accuracy of prediction model is verified. The maximum relative errors of total pressure and efficiency are respectively 0.974% and 0.3327% with the trained neural network to predict on each single test sample, which reaches the predetermined training accuracy, and can be used for fan performance prediction.
AB - In view of the G4-73 type backward centrifugal fan widely used in power plant, training samples for orthogonal test is conducted. A Centrifugal fan performance parameters prediction model based on BP neural network is built. Through the contraction between the predictive value and samples, the accuracy of prediction model is verified. The maximum relative errors of total pressure and efficiency are respectively 0.974% and 0.3327% with the trained neural network to predict on each single test sample, which reaches the predetermined training accuracy, and can be used for fan performance prediction.
KW - Centrifugal fan
KW - Neural network
KW - Structural parameter
UR - http://www.scopus.com/inward/record.url?scp=84873352295&partnerID=8YFLogxK
U2 - 10.4028/www.scientific.net/AMM.275-277.2455
DO - 10.4028/www.scientific.net/AMM.275-277.2455
M3 - Conference contribution
AN - SCOPUS:84873352295
SN - 9783037855911
T3 - Applied Mechanics and Materials
SP - 2455
EP - 2458
BT - Applied Mechanics and Materials I
T2 - 2012 International Conference on Applied Mechanics and Materials, ICAMM 2012
Y2 - 24 November 2012 through 25 November 2012
ER -