Different Algorithms Comparison of Neural-network Based Analysis and Prediction of a Comprossor's Characterestic Performance Map
محل انتشار: هشتمین کنفرانس انجمن هوافضای ایران
سال انتشار: 1388
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 1,492
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شناسه ملی سند علمی:
AEROSPACE08_114
تاریخ نمایه سازی: 5 شهریور 1388
چکیده مقاله:
The difficulties, due to a lack of information about stage-by-stage axial-compressor performance, are analyzed. To overcome these issues, a three-layer back-propagation neural-network applied Levenberg-Marquardt and conjugate gradient algorithms are presented and discussed. Three different conjugate gradient algorithms as Fletcher-Reeves, Polak-Ribiere and Powell-Beale are used to predict the compressor's characteristic performance map and the results are compared with the data from the solution of Levenberg-Marquardt algorithm. The experimental data provided by manufacturers are used for the neural-network training. Comparison of results shows that a Fletcher-Reeves algorithm has a better agreement with off-design data from the Levenberg-Marquardt algorithm. The results can be used for the development of an off-design model or overall dynamic simulation of the behavior of a gas-turbine power-plant.
کلیدواژه ها:
Compressor - Characteristic map - Neural network - Levenberg-Marquardt and Conjugate Gradient algorithms
نویسندگان
Reza Taghvi
Assistant Professor, Department of Mechanical Engineeing, Iran University of science and Technology, Tehran
Iman Naghib
MSc student, Department of Mechanical Engineeing, Iran University of science and Technology, Tehran (corresponding author)