Proceedings of the 2015 4th International Conference on Sensors, Measurement and Intelligent Materials

Modeling on Health Status of Cable lines

Authors
Kewen Li, Shan Li, Shifeng Ou
Corresponding Author
Kewen Li
Available Online January 2016.
DOI
https://doi.org/10.2991/icsmim-15.2016.40How to use a DOI?
Keywords
Cable line; State evaluation; Maximum eigenvalue; Grey correlation
Abstract

This paper introduces the state of cable lines assessment model, analyzes and describes the establishment of evaluation index system, state variable weight calculation and determination of the final comprehensive evaluation results. Due to that maintenance system reasonable directly influences reliability level, modeling on the health status of cable lines is significant for maintenance fault prediction and distribution management.

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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Volume Title
Proceedings of the 2015 4th International Conference on Sensors, Measurement and Intelligent Materials
Series
Advances in Computer Science Research
Publication Date
January 2016
ISBN
978-94-6252-157-5
ISSN
2352-538X
DOI
https://doi.org/10.2991/icsmim-15.2016.40How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Kewen Li
AU  - Shan Li
AU  - Shifeng Ou
PY  - 2016/01
DA  - 2016/01
TI  - Modeling on Health Status of Cable lines
BT  - Proceedings of the 2015 4th International Conference on Sensors, Measurement and Intelligent Materials
PB  - Atlantis Press
SP  - 212
EP  - 216
SN  - 2352-538X
UR  - https://doi.org/10.2991/icsmim-15.2016.40
DO  - https://doi.org/10.2991/icsmim-15.2016.40
ID  - Li2016/01
ER  -