Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)

Research on the Condition Maintenance Control of Electrical Equipment Based on Cloud Model and Improved TOPSIS Method

Authors
Zhiyu Li
Corresponding Author
Zhiyu Li
Available Online April 2017.
DOI
10.2991/icmmct-17.2017.296How to use a DOI?
Keywords
Electrical equipment, Condition maintenance control, Cloud model, Grey correlation degree, TOPSIS
Abstract

This paper presents a condition maintenance control method for electrical equipment combined with the advantages of cloud model and TOPSIS method improved by grey correlation degree. The cloud model is used to overcome the fuzziness and randomness of evaluation language set in the decision-making process. Besides, the TOPSIS method improved by grey correlation degree aims to solve the grey of evaluation language set. The examples analysis has verified the credibility of the proposed method.

Copyright
© 2017, 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 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)
Series
Advances in Engineering Research
Publication Date
April 2017
ISBN
978-94-6252-318-0
ISSN
2352-5401
DOI
10.2991/icmmct-17.2017.296How to use a DOI?
Copyright
© 2017, 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  - Zhiyu Li
PY  - 2017/04
DA  - 2017/04
TI  - Research on the Condition Maintenance Control of Electrical Equipment Based on Cloud Model and Improved TOPSIS Method
BT  - Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)
PB  - Atlantis Press
SP  - 1568
EP  - 1573
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-17.2017.296
DO  - 10.2991/icmmct-17.2017.296
ID  - Li2017/04
ER  -