Title :
Parameter simulation in performance monitoring system of steam turbine unit for a fossil-fuel power plant
Author :
Liu, Guang-Lin ; Hu, Nian-Su ; Zhao, Yu ; Wu, Jun-Feng
Author_Institution :
Sch. of Power & Mech. Eng., Wuhan Univ., China
Abstract :
We propose to use a radial basis function neural network to solve the problem brought by the invalid parameters in the steam turbine performance monitoring system. This network has good stability and accuracy. This paper introduces how to use the network to simulate the parameters. At the same time, the paper presents a method of off-line training by MATLAB. This method is simple and convenient to deal with the invalid parameters.
Keywords :
boilers; computerised monitoring; digital simulation; learning (artificial intelligence); radial basis function networks; thermal power stations; MATLAB; digital simulation; fossil-fuel power plant; learning; parameter simulation; performance monitoring system; radial basis function neural network; real time system; steam turbine; Condition monitoring; Electronic mail; Intelligent networks; Mechanical engineering; Neural networks; Neurons; Performance analysis; Power generation; Turbines; Vectors;
Conference_Titel :
Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on
Print_ISBN :
0-7803-7508-4
DOI :
10.1109/ICMLC.2002.1167402
