Characterizing vibration signals utilizing morphological pattern spectrum for gear fault diagnosis

DOI

10.2991/icmra-15.2015.136How to use a DOI?

Keywords

vibration signals; mathematical morphology; morphological pattern spectrum; gear fault diagnosis

Abstract

In this investigation, we present an alternative technique to characterize the vibration signals by utilizing the morphological pattern spectrum (MPS) based on the mathematical morphology theory. Different from the conventional morphological pattern spectrum which is based on morphological open operator, we extend the morphological pattern spectrum with other morphological operators. Vibration signals measured from a gearbox with three operating states are employed to evaluate the effectiveness of MPS. Experimental results have demonstrated the extended MPS calculated based on morphological erosion operator to be very effective on characterizing vibration signals for gear fault diagnosis.

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  - Bing Li
AU  - Min Gao
AU  - Qingchen Guo
AU  - Fang Liu
PY  - 2015/04
DA  - 2015/04
TI  - Characterizing vibration signals utilizing morphological pattern spectrum for gear fault diagnosis
BT  - Proceedings of the 3rd International Conference on Mechatronics, Robotics and Automation
PB  - Atlantis Press
SP  - 707
EP  - 711
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmra-15.2015.136
DO  - 10.2991/icmra-15.2015.136
ID  - Li2015/04
ER  -