Research on Fault Diagnosis of Oil Pumping Machine based on Wavelet Transform

DOI

10.2991/aeece-15.2015.96How to use a DOI?

Keywords

Beam-Pump Unit; electric parameters; wavelet transform; Mallat algorithm; fault diagnosis

Abstract

The fault diagnosis approach of pumping machine based on wavelet transform is proposed. The Mallat algorithm is employed to extract the feature components from the measured electric power figure, the periodic signal of the oil pumping machine as well as the vibration signals of electric machine and the sucker rob can be extracted. Compared these signals with the actual signals, the fault diagnosis information can be obtained, and the fault database can be built. Employing this approach to the running oil pumping machines, the simulation results show that this approach can extract the fault information correctly.

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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TY  - CONF
AU  - Junxia Wang
AU  - Jiating Jiang
AU  - Xiaogang Wang
PY  - 2015/09
DA  - 2015/09
TI  - Research on Fault Diagnosis of Oil Pumping Machine based on Wavelet Transform
BT  - Proceedings of the International Conference on Advances in Energy, Environment and Chemical Engineering
PB  - Atlantis Press
SP  - 477
EP  - 480
SN  - 2352-5401
UR  - https://doi.org/10.2991/aeece-15.2015.96
DO  - 10.2991/aeece-15.2015.96
ID  - Wang2015/09
ER  -