Debris Recognition Methods in the Lubrication System with Electrostatic Sensors
Joint Authors
Mao, Huijie
Zuo, Hongfu
Wang, Han
Yin, Yibing
Li, Xin
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-12-20
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
The oil-line electrostatic sensor (OLS) is a developing debris monitoring sensor.
Previous work has shown that electrostatic charge signals can indicate the debris by calculating the Root Mean Square (RMS) value or the correlation-based indicator, but the precision of these methods is not high.
This paper further developed the more accurate methods to obtain detailed debris information.
Firstly, to interpret the monitoring principle of OLS and provide the guidance for developing the debris recognition methods, this paper analyzed the possible charge sources in the lubrication system and obtained the characteristics of the OLS by establishing its mathematical model.
Further, a new OLS test rig was designed and verified the correctness of the sensor’s characteristics and its mathematical model.
Based on the characteristics of the sensor, two new debris recognition methods were proposed.
Finally, the effects of the new debris recognition methods were verified by the practical industrial gearbox bench test.
Results showed that, compared to the traditional methods, the new methods could recognize the debris effectively and provide more detailed information of the debris.
American Psychological Association (APA)
Mao, Huijie& Zuo, Hongfu& Wang, Han& Yin, Yibing& Li, Xin. 2018. Debris Recognition Methods in the Lubrication System with Electrostatic Sensors. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-15.
https://search.emarefa.net/detail/BIM-1209113
Modern Language Association (MLA)
Mao, Huijie…[et al.]. Debris Recognition Methods in the Lubrication System with Electrostatic Sensors. Mathematical Problems in Engineering No. 2018 (2018), pp.1-15.
https://search.emarefa.net/detail/BIM-1209113
American Medical Association (AMA)
Mao, Huijie& Zuo, Hongfu& Wang, Han& Yin, Yibing& Li, Xin. Debris Recognition Methods in the Lubrication System with Electrostatic Sensors. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-15.
https://search.emarefa.net/detail/BIM-1209113
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1209113