Side Panel Crack Fault Diagnosis Research of Large-scale Vibrating Screen Based on Wavelet Analysis
Qing hui Zhu, Han Wang
Qing hui Zhu
Available Online December 2015.
- https://doi.org/10.2991/icmmcce-15.2015.370How to use a DOI?
- Fault diagnosis; vibrating screen; wavelet analysis; neural network
- The paper takes side panel cracks of large-scale vibrating screen as research object. The side panel vibration signals have been de-noised and the wavelet packet energy feature has been extracted in Matlab with wavelet analysis theory. Meanwhile, the fault characteristics is sent to genetic neural network for identification. The practical manufacturing application shows that this kind of side panel crack fault diagnosis system of large-scale vibrating screen based on wavelet analysis has high fault recognition ability, classification precision and speed.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Qing hui Zhu AU - Han Wang PY - 2015/12 DA - 2015/12 TI - Side Panel Crack Fault Diagnosis Research of Large-scale Vibrating Screen Based on Wavelet Analysis BT - Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015 PB - Atlantis Press SN - 2352-538X UR - https://doi.org/10.2991/icmmcce-15.2015.370 DO - https://doi.org/10.2991/icmmcce-15.2015.370 ID - Zhu2015/12 ER -