Research on pattern recognition for marine steam turbine rotor axis orbit

Yan Zhang , Zhi-da Yang , Hong Xia

Journal of Marine Science and Application ›› 2003, Vol. 2 ›› Issue (1) : 45 -49.

PDF
Journal of Marine Science and Application ›› 2003, Vol. 2 ›› Issue (1) : 45 -49. DOI: 10.1007/BF02935575
Article

Research on pattern recognition for marine steam turbine rotor axis orbit

Author information +
History +
PDF

Abstract

The structure, function and recognition method of an axis orbit auto-recognizing system are presented in this paper. In order to make the best use of information of format and dynamic characteristics of marine steam turbine axis orbit, the structure and functions or neural network are applied to this system, which can be used to auto-recognize axis orbit of the system turbine rotor using BP neural network.

Keywords

axis orbit / pattern recognition / neural network

Cite this article

Download citation ▾
Yan Zhang, Zhi-da Yang, Hong Xia. Research on pattern recognition for marine steam turbine rotor axis orbit. Journal of Marine Science and Application, 2003, 2(1): 45-49 DOI:10.1007/BF02935575

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Collacott R A. Mechanical fault diagnosis and condition monitoring[M]. 1977, London: Chapman and Hall

[2]

Smith D J. Monitoring/diagnostic systems enhance plant asset management[J]. Power Engineering, 1992, 96(6): 23-29

[3]

Wood J. Invariant pattern recognition: a review [J]. Pattern Recognition, 1996, 29(1): 1-17

[4]

SHENG Zhaohan, ZHAO Lindu. On identifying roating machinery orbits of shaft centerline based on neural networks [A]. Fifth international conference on condition monitoring[C]. Xi’an, 1997.

[5]

KHANMOHAMMADI S, HASSANZADEH S. Fault diagnosis competitive neural network with prioritized modification rule of connection weights. Electrical Engineering Department, 1998.

AI Summary AI Mindmap
PDF

137

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/