Research on On-line Detection Technology of Lubricating Oil Moisture

被引：0

作者：

Fan, Bin ^{[1
,2
]}

Gao, Yingjie ^{[1
]}

Wang, Lianfu ^{[1
]}

Liu, Yong ^{[2
]}

Wang, Jianguo ^{[3
]}

Zhang, Chao ^{[3
]}

Gu, Fengshou ^{[4
]}

机构：

[1] Inner Mongolia Agr Univ, Sch Mech & Elect Engn, Hohhot 010018, Inner Mongolia, Peoples R China

[2] State Key Lab Intelligent Mfg Special Vehicles &, Baotou 014030, Inner Mongolia, Peoples R China

[3] Inner Mongolia Univ Sci & Technol, Sch Mech Engn, Baotou 014010, Inner Mongolia, Peoples R China

[4] Univ Huddersfield, Ctr Efficiency & Performance Engn, Huddersfield HD1 3DH, W Yorkshire, England

来源：

PROCEEDINGS OF TEPEN 2022 | 2023年 / 129卷

基金：

中国国家自然科学基金;

关键词：

Water pollution; Lubricating oil; Image distortion; Online detection; WATER;

D O I：

10.1007/978-3-031-26193-0_51

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Lubricating oil in mechanical equipment plays the functions of lubricating parts, removing impurities, heat conduction and cooling, sealing and rust prevention, load transmission and shock absorption, and is the guarantee for the safe and reliable operation of mechanical equipment. As the most destructive pollutant in lubricating oil, water pollution is the main reason for the deterioration of lubricating oil performance, which seriously threatens the service life of machinery and equipment. In view of the problems existing in the current lubricating oil moisture detection methods, this paper proposes an on-line lubricating oil moisture detection technology method, which uses the principle of image distortion caused by moisture media, senses the lubricating oil image through image sensing technology, and analyzes the water pollution degree, so as to realize the on-line detection of lubricating oil moisture.

引用

页码：568 / 575

页数：8

共 8 条

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