A Novel Method for Fault Diagnosis of Planetary Gearbox

DOI

10.2991/eame-18.2018.34How to use a DOI?

Keywords

planetary gearbox; fault diagnosis; modeling; empirical mode decomposition; rough set

Abstract

The transmission path of planetary gearbox is complex and the fault signal can easily be submerged in the noise signal, so a novel method for fault diagnosis of planetary gearboxes was proposed in the paper, which combined the simulation modeling with the sensor signal processing. Through the dynamic modeling and simulation of the planetary gearbox, it was found that the frequency domain characteristic parameters of the simulation signal can identify different types of sun gear failures. The practical signals were analyzed by the methods of the local wave decomposition, approximate entropy, rough set theory. The minimal fault characteristic parameter set of planetary gearboxes was obtained. The results show that the minimal fault feature parameter set can diagnose different fault types quickly and efficiently with the accuracy of up to 95%.

Copyright

© 2018, 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  - Huiling Liu
AU  - Jianguo Zhang
PY  - 2018/06
DA  - 2018/06
TI  - A Novel Method for Fault Diagnosis of Planetary Gearbox
BT  - Proceedings of the 2018 3rd International Conference on Electrical, Automation and Mechanical Engineering (EAME 2018)
PB  - Atlantis Press
SP  - 164
EP  - 168
SN  - 2352-5401
UR  - https://doi.org/10.2991/eame-18.2018.34
DO  - 10.2991/eame-18.2018.34
ID  - Liu2018/06
ER  -