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     Research Journal of Applied Sciences, Engineering and Technology


Rotor Fault Diagnosis and Simulation Based on LabVIEW

Hong-Xin Zhang, Hao Zhou, Xin-Ping Guo and Yu Yan
School of Mechanical and Power Engineering, Harbin University of Science and Technology, Heilongjiang, China
Research Journal of Applied Sciences, Engineering and Technology  2013  19:3670-3674
http://dx.doi.org/10.19026/rjaset.6.3574  |  © The Author(s) 2013
Received: January 05, 2013  |  Accepted: January 31, 2013  |  Published: 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.

Keywords:

Fault diagnosis, LabVIEW, pattern recognition, shaft orbits,


References


Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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