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

Civil Engineering

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