Title :
Application of SOM neural network in fault diagnosis of the steam turbine regenerative system
Author :
Wu, Jun-Fen ; Hu, Nian-Su ; Hu, Sheng ; Zhao, Yu
Author_Institution :
Sch. of Power & Mech. Eng., Wuhan Univ., China
Abstract :
The steam turbine regenerative system is one of the most important and complicated thermodynamic systems. The SOM (self-organizing map) neural network is applied to fault diagnosis of the system, which is implemented by the neural network toolbox in MATLAB. The method for fault diagnosis of the regenerative system is effective and it has been verified by simulation results.
Keywords :
fault diagnosis; self-organising feature maps; steam turbines; MATLAB; SOM neural network; fault diagnosis; neural network toolbox; self-organizing map neural network; steam turbine regenerative system; thermodynamic systems; Fault diagnosis; Intelligent networks; MATLAB; Mechanical engineering; Neural networks; Neurons; Organizing; Pattern recognition; Thermodynamics; Turbines;
Conference_Titel :
Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on
Print_ISBN :
0-7803-7508-4
DOI :
10.1109/ICMLC.2002.1176735
