Research on Fault Prediction of Electronic Device Based on Subjection Function

DOI

10.2991/isaeece-16.2016.30How to use a DOI?

Keywords

Fault prediction; Fault mechanism; Subjection function; Feature parameter; Certainty factor

Abstract

In view of the current electronic equipment modular direction development, timely understanding of electronic equipment running status, to prevent failures and shorten the maintenance time, adopt the method of fuzzy membership function, and to quantify the fuzzy state of the equipment, introducing the credibility factor and the fusion algorithm to deal with the above data, according to the automatic test equipment (ATE) measured data and expert experience, the method are verified.The experiments show that this method is feasible and effective, for the fault of electronic equipment has high forecast accuracy.

Copyright

© 2016, 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  - Yugang Zhao
PY  - 2016/04
DA  - 2016/04
TI  - Research on Fault Prediction of Electronic Device Based on Subjection Function
BT  - Proceedings of the 2016 International Symposium on Advances in Electrical, Electronics and Computer Engineering
PB  - Atlantis Press
SP  - 141
EP  - 146
SN  - 2352-5401
UR  - https://doi.org/10.2991/isaeece-16.2016.30
DO  - 10.2991/isaeece-16.2016.30
ID  - Zhao2016/04
ER  -