DocumentCode :
724454
Title :
Development of an experimental software for rub-impact fault recognition research
Author :
Yanjun Lu ; Lihe Wan ; Yi Liu
Author_Institution :
Sch. of Autom., Shenyang Aerosp. Univ., Shenyang, China
fYear :
2015
fDate :
23-25 May 2015
Firstpage :
4604
Lastpage :
4607
Abstract :
Rotor and stator rubbing is a common fault of rotating machinery, for instance, aircraft engine, currently, numerous methods are presented to address the issues of Rub-impact fault. For the purpose of effective research for the different diagnosis methods, a experimental system for Rub-Impact fault diagnosis research is achieved in this paper, with the mixed programming of Matlab and VC++ applied. As an illustration, three methods, such as Linear-SVM, RBF-SVM and BP network, are embedded and the respective diagnosis results are analyzed. In addition, a brief introduction of mixed programming with Visual C ++ and MatLAB and the system architecture are given in this paper. The application of software platform gives the results that the system presented is practical and effective in fact.
Keywords :
C++ language; backpropagation; fault diagnosis; machinery; mechanical engineering computing; radial basis function networks; rotors (mechanical); stators; support vector machines; BP network; Matlab mixed programming; RBF-SVM; VC++; aircraft engine; experimental software development; fault diagnosis methods; linear-SVM; rotating machinery fault; rotor rubbing; rub-impact fault recognition research; stator rubbing; system architecture; Engines; Fault diagnosis; Libraries; MATLAB; Programming; Support vector machines; Visualization; fault diagnosis; mixed programming; rub-impact; simulation system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location :
Qingdao
Print_ISBN :
978-1-4799-7016-2
Type :
conf
DOI :
10.1109/CCDC.2015.7162737
Filename :
7162737
Link To Document :
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