Characterizing vibration signals utilizing morphological pattern spectrum for gear fault diagnosis
Bing Li, Min Gao, Qingchen Guo, Fang Liu
Available Online April 2015.
- https://doi.org/10.2991/icmra-15.2015.136How to use a DOI?
- vibration signals; mathematical morphology; morphological pattern spectrum; gear fault diagnosis
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - https://doi.org/10.2991/icmra-15.2015.136 ID - Li2015/04 ER -