DocumentCode :
1890383
Title :
Study on Shaft Orbits Measurement and Identification Based on LabVIEW
Author :
Zhang Hongxin ; Zhou Hao ; Guo Xinping ; Meng Teng ; Hong Xinyu ; Yan Yu
Author_Institution :
Sch. of Mech. & Power Eng., Harbin Univ. of Sci. & Technol., Harbin, China
fYear :
2013
fDate :
16-17 Jan. 2013
Firstpage :
1087
Lastpage :
1090
Abstract :
In order to measure and recognize shaft orbits a fault diagnosis system based on LabVIEW is developed. Integrating data acquisition, signal analysis and processing, information recognition and fault diagnosis, this system can automatically measure, analyze, identify the shaft orbits and get fault results. A pattern recognition method on the basis of the invariant moment algorithm is studied with LabVIEW and used to the shaft orbit recognition. The experimental results show that the shaft orbit of a rotor can be identified through this method and the shape is close to the ellipse. So the main fault of the rotor is imbalance. The fault result is verified by spectrum analysis. This study is helpful to develop the online fault diagnosis system based on LabVIEW.
Keywords :
data acquisition; fault diagnosis; mechanical engineering computing; pattern recognition; shafts; signal processing; virtual instrumentation; LabVIEW; data acquisition; fault diagnosis system; information recognition; pattern recognition; shaft orbits identification; shaft orbits measurement; signal analysis; signal processing; Data acquisition; Extraterrestrial measurements; Fault diagnosis; Orbits; Rotors; Shafts; Software; Fault diagnosis; LabVIEW; Pattern recognition; Shaft orbits;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Measuring Technology and Mechatronics Automation (ICMTMA), 2013 Fifth International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4673-5652-7
Type :
conf
DOI :
10.1109/ICMTMA.2013.266
Filename :
6493919
Link To Document :
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