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2013 (Vol. 6, Issue: 19)
Article Information:

Rotor Fault Diagnosis and Simulation Based on LabVIEW

Hong-Xin Zhang, Hao Zhou, Xin-Ping Guo and Yu Yan
Corresponding Author:  Hong-Xin Zhang 

Key words:  Fault diagnosis, LabVIEW, pattern recognition, shaft orbits, , ,
Vol. 6 , (19): 3670-3674
Submitted Accepted Published
January 05, 2013 January 31, 2013 October 20, 2013
Abstract:

A fault diagnosis system based on LabVIEW is researched to analyze the rotating machinery fault. By developing data acquisition, signal analysis, processing and simulation, pattern recognition and fault diagnosis modules, this system can automatically measure and identify the shaft orbit of a rotor and get fault results. A pattern recognition method on the basis of the invariant moment algorithm is studied with LabVIEW and used to recognize shaft orbit shapes. The experimental results show that the shaft orbit of a rotor can be identified through invariant moment calculation. Because the shape of the shaft orbit of the rotor is close to the ellipse the main fault is imbalance. The fault result is proved to be correct by spectrum analysis. This study is helpful to develop a online fault diagnosis system based on LabVIEW.
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  Cite this Reference:
Hong-Xin Zhang, Hao Zhou, Xin-Ping Guo and Yu Yan, 2013. Rotor Fault Diagnosis and Simulation Based on LabVIEW.  Research Journal of Applied Sciences, Engineering and Technology, 6(19): 3670-3674.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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