One Continuous Data Fault Diagnosis Method Based on Rough Set Theory and Fuzzy C-Mean Cluster

DOI

10.2991/icamia-15.2015.21How to use a DOI?

Keywords

fuzzy c-mean cluster; rough set theory; continuous data; diagnosis

Abstract

There is the problem that Rough Set Theory cannot process the quantitative data in the equipment test data. One FCM method is given to discretize the quantitative data, and the center value of the each cluster is calculated in order to discretize. And then, the attribution reduction algorithm and rules extract methods are applied to get the last diagnosis rule, which is applied to some aero radio equipment fault diagnosis to verify its validity.

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/).

Download article (PDF)

TY  - CONF
AU  - Guangyi Zhang
AU  - Libin Yang
AU  - Yanqin Su
PY  - 2015/12
DA  - 2015/12
TI  - One Continuous Data Fault Diagnosis Method Based on Rough Set Theory and Fuzzy C-Mean Cluster
BT  - Proceedings of the 2015 International Conference on Advanced Manufacturing and Industrial Application
PB  - Atlantis Press
SP  - 85
EP  - 87
SN  - 2352-5401
UR  - https://doi.org/10.2991/icamia-15.2015.21
DO  - 10.2991/icamia-15.2015.21
ID  - Zhang2015/12
ER  -