Design of vibration analysis and fault diagnosis for the rotating machinery based on virtual instrument

DOI

10.2991/iccita-16.2016.15How to use a DOI?

Keywords

rotating machinery, envelopment analysis , cepstrum analysis ,orbit analysis , holo-spectrum analysis ,database

Abstract

Rolling bearings are widely used on the rotating machinery, but also the most vulnerable parts to damage. This paper designs a rolling bearing fault diagnosis system based on Labview. First of all, by using the transducer, such as torque transducer, temperature transducer, eddy current sensor and photoelectric sensor, to carry on the real-time controlling and display the signal in the special domain and in the time domain, in the meantime, the system can store data. Then the next part is capably of processing data by using the methods of filter analysis, envelopment analysis, cepstrum analysis, orbit analysis and holo-spectrum analysis. Finally the system is able to create database and provide an easy method for storing and manipulating the data which is measured by transducer and processed by the system.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Haitao Bao
AU  - Xing Zhao
AU  - Yu Yuan
PY  - 2016/05
DA  - 2016/05
TI  - Design of vibration analysis and fault diagnosis for the rotating machinery based on virtual instrument
BT  - Proceedings of the 2016 International Conference on Computer and Information Technology Applications
PB  - Atlantis Press
SP  - 80
EP  - 83
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccita-16.2016.15
DO  - 10.2991/iccita-16.2016.15
ID  - Bao2016/05
ER  -