Proceedings of the 2015 International Industrial Informatics and Computer Engineering Conference

The Gearbox Fault Diagnosis Based on Wavelet Transform

Authors
Jinyu Wang, Dejian Kong, Shi Dong, Chao Wang
Corresponding Author
Jinyu Wang
Available Online March 2015.
DOI
10.2991/iiicec-15.2015.430How to use a DOI?
Keywords
Wavelet Transform; Gearbox; Vibration; Fault-diagnosis
Abstract

The main gearbox is an important driving force for a pump. It needs to carry out regular monitoring. In this paper, it measures the vibration acceleration signal of a pumping unit’s main gearbox, names them 1# and 2#. After comparing the time course curve and spectral of the two main gearbox, it has found the 2# gearbox’s maximum amplitude is about 2.5 times than the 1#. The narrowband signals are filtered by Hilbert transform to obtain the envelope of the narrow band signal. The envelope signals are significant different between the two gear boxes, 1# gearbox has more spectrum of frequency, and 2# gearbox is more outstanding single frequency component. The results show that the presence of the 2#gearbox has some minor faults. The 2# gearbox is more wear than 1# gearbox, which explains the rationality of the vibration analysis.

Copyright
© 2015, 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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Volume Title
Proceedings of the 2015 International Industrial Informatics and Computer Engineering Conference
Series
Advances in Computer Science Research
Publication Date
March 2015
ISBN
978-94-62520-54-7
ISSN
2352-538X
DOI
10.2991/iiicec-15.2015.430How to use a DOI?
Copyright
© 2015, 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/).

Cite this article

TY  - CONF
AU  - Jinyu Wang
AU  - Dejian Kong
AU  - Shi Dong
AU  - Chao Wang
PY  - 2015/03
DA  - 2015/03
TI  - The Gearbox Fault Diagnosis Based on Wavelet Transform
BT  - Proceedings of the 2015 International Industrial Informatics and Computer Engineering Conference
PB  - Atlantis Press
SP  - 1973
EP  - 1976
SN  - 2352-538X
UR  - https://doi.org/10.2991/iiicec-15.2015.430
DO  - 10.2991/iiicec-15.2015.430
ID  - Wang2015/03
ER  -