Numerical Integration and Complex Trend Term Elimination of Acceleration Signal in Fault Diagnosis

DOI

10.2991/ipemec-15.2015.93How to use a DOI?

Keywords

numerical integration; trend term; fault diagnosis; empirical mode decomposition (EMD)

Abstract

Acceleration signal is widely used in fault diagnosis of power machine, which can be numerical integrated to obtain displacement data. DC components and trend terms can’t be avoided in acceleration signal and it will be magnified during integration, causing distortion of the displacement waveform acquired. To eliminate the influence of the trend term, the method of high-pass frequency domain filtering, polynomial curve fitting and empirical mode decomposition (EMD) are tried in this paper to deal with the experimental data collected from our rotor-bearing-casing coupled vibration experiment system. EMD shows its significant effect extracting the trend of displacement data integrated from the acceleration.

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  - Yi-zhou Yang
AU  - Dong-xiang Jiang
PY  - 2015/05
DA  - 2015/05
TI  - Numerical Integration and Complex Trend Term Elimination of Acceleration Signal in Fault Diagnosis
BT  - Proceedings of the 2015 International Power, Electronics and Materials Engineering Conference
PB  - Atlantis Press
SP  - 495
EP  - 500
SN  - 2352-5401
UR  - https://doi.org/10.2991/ipemec-15.2015.93
DO  - 10.2991/ipemec-15.2015.93
ID  - Yang2015/05
ER  -