Research and Simulation of fault detection method for small electronic equipment

DOI

10.2991/icmmcce-15.2015.218How to use a DOI?

Keywords

fault detection; feature extraction; wavelet analysis;

Abstract

in the process of studying fault detection method for small electronic devices, when using current algorithm for small electronic equipment fault detection, too many constraints results in incomplete detection, large error and time consuming. To this end, a fault detection method for small electronic devices based on improved immune algorithm is proposed. The method fusing in wavelet analysis technology extracts the fault information of small electronic equipment detection system first, and then uses the wavelet modulus maximum to map the transient response of the fault state. On the basis of the risk theory model, the antigen collection and antibody groups in real-time fault detection system of small electronic equipment are matched with the obtained fault feature information one by one, and a multi threshold is set up to determine whether it is a fault signal, thus, a small electronic equipment fault detection is completed efficiently. The experimental results show that the method of fault detection based on small electronic devices is highly effective.

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  - Zhaomin Zeng
PY  - 2015/12
DA  - 2015/12
TI  - Research and Simulation of fault detection method for small electronic equipment
BT  - Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015
PB  - Atlantis Press
SP  - 863
EP  - 866
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmcce-15.2015.218
DO  - 10.2991/icmmcce-15.2015.218
ID  - Zeng2015/12
ER  -