Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015

Side Panel Crack Fault Diagnosis Research of Large-scale Vibrating Screen Based on Wavelet Analysis

Authors
Qing hui Zhu, Han Wang
Corresponding Author
Qing hui Zhu
Available Online December 2015.
DOI
https://doi.org/10.2991/icmmcce-15.2015.370How to use a DOI?
Keywords
Fault diagnosis; vibrating screen; wavelet analysis; neural network
Abstract
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.

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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  -