Research on On-line Detection Technology of Lubricating Oil Moisture

Bin Fan, Yingjie Gao, Lianfu Wang, Yong Liu, Jianguo Wang, Chao Zhang, Fengshou Gu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


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.

Original languageEnglish
Title of host publicationProceedings of TEPEN 2022 -
Subtitle of host publicationEfficiency and Performance Engineering Network
EditorsHao Zhang, Yongjian Ji, Tongtong Liu, Xiuquan Sun, Andrew David Ball
PublisherSpringer, Cham
Number of pages8
ISBN (Electronic)9783031261930
ISBN (Print)9783031261923, 9783031261954
Publication statusPublished - 4 Mar 2023
EventInternational Conference of The Efficiency and Performance Engineering Network 2022 - Baotou, China
Duration: 18 Aug 202221 Aug 2022

Publication series

NameMechanisms and Machine Science
Volume129 MMS
ISSN (Print)2211-0984
ISSN (Electronic)2211-0992


ConferenceInternational Conference of The Efficiency and Performance Engineering Network 2022
Abbreviated titleTEPEN 2022
Internet address


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