DocumentCode
424320
Title
Identification of the shaft orbits for turbine rotor by modified Fourier descriptors
Author
Fu, Bo ; Zhou, Jian-zhong ; Chen, Wen-Qing ; Yu, Bing-Hui
Author_Institution
Coll. of Hydropower Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
Volume
2
fYear
2004
fDate
26-29 Aug. 2004
Firstpage
1162
Abstract
A novel method based on modified Fourier descriptors is proposed to recognize the shaft orbits of turbine rotor. The principle, invariants and applications of modified Fourier descriptors are discussed in detail. The back-propagation (BP) neural network and modified Fourier descriptors are combined to classify the shaft orbits for the fault diagnosis for turbine rotor. The simulation results of automatic identification for three typical shaft orbits indicate that the proposed method is accurate and practicable.
Keywords
Fourier analysis; backpropagation; fault diagnosis; neural nets; pattern recognition; rotors; shafts; turbines; Fourier descriptors; backpropagation neural network; fault diagnosis; shaft orbits identification; shape recognition; turbine rotor; Discrete Fourier transforms; Discrete transforms; Fault diagnosis; Image recognition; Machinery; Neural networks; Orbits; Shafts; Shape; Turbines;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN
0-7803-8403-2
Type
conf
DOI
10.1109/ICMLC.2004.1382365
Filename
1382365
Link To Document