Proceedings of the 2018 3rd International Conference on Modelling, Simulation and Applied Mathematics (MSAM 2018)

Research of Structure and Characteristics for Tribological Electrostatic Sensors

Authors
Ruochen Liu, Shaoyi Bei, Jing Zhou
Corresponding Author
Ruochen Liu
Available Online July 2018.
DOI
10.2991/msam-18.2018.68How to use a DOI?
Keywords
sensor structure; mathematical model; electrostatic sensing; WSS; OLS
Abstract

A novel technique called electrostatic sensing method has been applied to condition monitoring on tribological system. Two basic types of electrostatic sensors are Wear-Site Sensor (WSS) and Oil-Line Sensor (OLS). According to the sensor structure (shape and size), different sensors have different features. This paper analyzed the characteristics of electrostatic sensors with modified standard mathematical model for each kinds. Useful conclusions were investigated and listed by contrast, lead to a better understanding and application for the technique.

Copyright
© 2018, 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 2018 3rd International Conference on Modelling, Simulation and Applied Mathematics (MSAM 2018)
Series
Advances in Intelligent Systems Research
Publication Date
July 2018
ISBN
978-94-6252-566-5
ISSN
1951-6851
DOI
10.2991/msam-18.2018.68How to use a DOI?
Copyright
© 2018, 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  - Ruochen Liu
AU  - Shaoyi Bei
AU  - Jing Zhou
PY  - 2018/07
DA  - 2018/07
TI  - Research of Structure and Characteristics for Tribological Electrostatic Sensors
BT  - Proceedings of the 2018 3rd International Conference on Modelling, Simulation and Applied Mathematics (MSAM 2018)
PB  - Atlantis Press
SP  - 325
EP  - 328
SN  - 1951-6851
UR  - https://doi.org/10.2991/msam-18.2018.68
DO  - 10.2991/msam-18.2018.68
ID  - Liu2018/07
ER  -