Proceedings of the 2nd International Conference on Electronic & Mechanical Engineering and Information Technology (EMEIT 2012)

One Fusion Approach of Fault Diagnosis Based on Rough Set Theory and Dezert-Smarandache Theory

Authors
Yanqin Su, Zhenyu Song, Tingxue Xu
Corresponding Author
Yanqin Su
Available Online September 2012.
DOI
10.2991/emeit.2012.384How to use a DOI?
Keywords
Rough Sets Theory, Dezert-Smarandache Theory, fault diagnosis
Abstract

There are the advantage of Rough Sets Theory and evidence theory for processing uncertain information, and one fusion approach of fault diagnosis based on the Rough Sets Theory and Dezert-Smarandache Theory. Firstly the abundant condition attribution was reduced through Rough Sets Theory, then evidence combining results of each reduced result were calculated through the basic probability assignment and normalized attribution significance. The diagnosis results were combined by DSmT combining equation. Finally the above method was applied to some equipment diagnosis to verify its effectiveness.

Copyright
© 2012, 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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Volume Title
Proceedings of the 2nd International Conference on Electronic & Mechanical Engineering and Information Technology (EMEIT 2012)
Series
Advances in Intelligent Systems Research
Publication Date
September 2012
ISBN
978-90-78677-60-4
ISSN
1951-6851
DOI
10.2991/emeit.2012.384How to use a DOI?
Copyright
© 2012, 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/).

Cite this article

TY  - CONF
AU  - Yanqin Su
AU  - Zhenyu Song
AU  - Tingxue Xu
PY  - 2012/09
DA  - 2012/09
TI  - One Fusion Approach of Fault Diagnosis Based on Rough Set Theory and Dezert-Smarandache Theory
BT  - Proceedings of the 2nd International Conference on Electronic & Mechanical Engineering and Information Technology (EMEIT 2012)
PB  - Atlantis Press
SP  - 1729
EP  - 1732
SN  - 1951-6851
UR  - https://doi.org/10.2991/emeit.2012.384
DO  - 10.2991/emeit.2012.384
ID  - Su2012/09
ER  -