Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications

Study on the method of measuring direction and positioning with the sparse linear array sensor on the Partial discharge(PD)source

Authors
Tong Liu, Xiaolong Xu, Hao Du
Corresponding Author
Tong Liu
Available Online January 2017.
DOI
https://doi.org/10.2991/icmmita-16.2016.64How to use a DOI?
Keywords
sparse linear array sensor; Partial discharge source; chaotic monkey algorithm; MUSIC algorithm.
Abstract

We propose a method based on MUSIC and Chaotic Monkey algorithm for measuring direction and positioning with the sparse linear array sensor on the discharge source. First, we de-noise and focus on the linear array signals. Then, we get the angle of the incoming signal by MUSIC algorithm. Finally, we find PD source localization by ultrasonic array Chaotic Monkey algorithm. At last, the results from some experiments show that the errors are about 3.5cm, which indicates that this estimation method is with a good accuracy.

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 2016 4th International Conference on Machinery, Materials and Information Technology Applications
Series
Advances in Computer Science Research
Publication Date
January 2017
ISBN
978-94-6252-285-5
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmmita-16.2016.64How 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  - Tong Liu
AU  - Xiaolong Xu
AU  - Hao Du
PY  - 2017/01
DA  - 2017/01
TI  - Study on the method of measuring direction and positioning with the sparse linear array sensor on the Partial discharge(PD)source
BT  - Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications
PB  - Atlantis Press
SP  - 358
EP  - 360
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmita-16.2016.64
DO  - https://doi.org/10.2991/icmmita-16.2016.64
ID  - Liu2017/01
ER  -