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

DOI

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.

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  - 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  - 10.2991/icmmcce-15.2015.370
ID  - Zhu2015/12
ER  -