Correction strategies of debris concentration for engine wear monitoring via online visual ferrograph

被引：12

作者：

Cao, Wei ^{[1
,2
]}

Dong, Guangneng ^{[1
]}

Chen, Wei ^{[1
]}

Wu, Jiaoyi ^{[1
]}

Xie, You-Bai ^{[1
]}

机构：

[1] Xi An Jiao Tong Univ, Theory Lubricat & Bearing Inst, Xian 710049, Peoples R China

[2] Xian Technol Univ, Sch Mech & Elect Engn, Xian, Peoples R China

来源：

PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART J-JOURNAL OF ENGINEERING TRIBOLOGY | 2015年 / 229卷 / 11期

基金：

美国国家科学基金会;

关键词：

Debris concentration model; wear trend prediction; online visual ferrograph; correction strategy; engine; OIL; IMAGE;

D O I：

10.1177/1350650115577403

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

Changing or replenishing the oil in an engine influences the accuracy of oil monitoring. An online visual ferrograph (OLVF) was used to monitor engine wear in this study. The variation in the debris concentration in an engine lubrication system was studied, and its equilibrium concentration of debris was determined to correct the data acquired using an OLVF after fresh oil was added to the system. This correction made the monitoring data of OLVF continuous, thereby enabling the raw data collected before and after oil replenishment to be compared. Changing the oil caused an interruption in the raw data. By combining different prediction modes, a comprehensive trend prediction framework was constructed to correct the data acquired after the engine's oil was changed. Thus, the data acquired before and after the oil change could be analysed and compared. In addition, the engine's whole wear trends could be observed. This correction strategy could also be used to assess the engine's health and to predict its degradation trend.

引用

页码：1319 / 1329

页数：11

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