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Abstract

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.

Keywords

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

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References

Liu

Xie

Zhao

. Revision to the concept of equilibrium concentration of particles in lubrication system of machines. Wear 1998; 215: 205–210.

. A wavelet-analysis-based differential method for engine wear monitoring via on-line visual ferrograph. Proc IMechE, Part J: J Engineering Tribology 2013; 227: 1356–1366.

Mao

Cao

. Characterization of wear debris group in on-line visual ferrographic images. Proc IMechE, Part J: J Engineering Tribology 2014; 228: 1298–1307.

Jing

Xie

. Research on Dynamic Process of Wear Particle Concentration in Oil. Lubrication Engineering (China) 2003; 1: 15–17.

Yin

Zhang

. Preventive maintenance decision framework for engines under wear with incomplete oil monitoring data. Transact CSICE (China) 2010; 28: 165–172.

Macián

Tormos

Olmeda

. Analytical approach to wear rate determination for internal combustion engine condition monitoring based on oil analysis. Tribol Int 2003; 36: 771–776.

Roylance

. Ferrography—then and now. Tribol Int 2005; 38: 857–862.

Bicchi

Blumberg

Cagliero

. Development of fast enantioselective gas-chromatographic analysis using gas-chromatographic method-translation software in routine essential oil analysis (lavender essential oil). J Chromatogr A 2010; 1217: 1530–1536.

Sheng

Zhang

. Non-destructive testing of marine diesel engines using integration of ferrographic analysis and spectrum analysis. Insight: Non-Destructive Test Condition Monitor 2012; 54: 394–398.

10.

Wang

. Wear characterization by an on-line ferrograph image. Proc IMechE, Part J: J Engineering Tribology 2011; 225: 23–34.

11.

Levi

Eliaz

. Failure analysis and condition monitoring of an open-loop oil system using ferrography. Tribol Lett 2009; 36: 17–29.

12.

Macián

Payri

Tormos

. Applying analytical ferrography as a technique to detect failures in diesel engine fuel injection systems. Wear 2006; 260: 562–566.

13.

Peng

. Full-life dynamic identification of wear state. based on on-line wear debris image features. Mech Syst Signal Process 2014; 42: 404–414.

14.

Zhang

Mao

Xie

. Engine Wear Monitoring with OLVF. Tribol Transact 2011; 54: 201–207.

15.

Huo

Xia

. Application of maximum entropy probability density estimation approach to constituting oil monitoring diagnostic criterions. Tribol Int 2006; 39: 528–532.

16.

Zhang

Fan

. Study on oil spectrum data pretreatment based on LS-SVM and AR Model. Lubricat Eng (China) 2010; 2: 59–63.

17.

Chen

. Grey target theory based equipment condition monitoring and wear mode recognition. Wear 2006; 260: 438–449.

18.

Wang

. A prognosis model for wear prediction based on oil-based monitoring. J Operation Res Soc 2007; 58: 887–893.

19.

Xie

Y-B

Three axioms in tribology. In: Wang

Yip

(eds). Encyclopedia of tribology, New York: Springer, 2013, pp. 3668–3672.

20.

Kong LJ. Research on piston rings and cylinder liners tribology system in internal combustion engine. PhD Thesis, Xi’an Jiao tong University, China, 1992.

21.

Mao

Dong

. Journal bearing wear monitoring via on-line visual ferrography. Adv Mater Res 2008; 44: 189–194.

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

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