Tribo-diagnostics as an indicator and input for the optimization of vehicles preventive maintenance

被引:0
作者
Glos, J. [1 ]
Sejkorova, M. [2 ]
机构
[1] Univ Def, Fac Mil Technol, Dept Combat & Special Vehicles, Kounicova 65, Brno 66210, Czech Republic
[2] Univ Pardubice, Jan Perner Transport Fac, Dept Transport Means & Diagnost, Studentska 95, Pardubice 53210, Czech Republic
来源
11TH INTERNATIONAL CONFERENCE ON INTELLIGENT TECHNOLOGIES IN LOGISTICS AND MECHATRONICS SYSTEMS (ITELMS'2016) | 2016年
关键词
tribotechnical diagnostics; engine oil; instrumental methods; FTIR spectrometry; atomic emission spectrometry; laser analyzer; OIL CONDITION SENSOR; ENGINE; FTIR; DEGRADATION;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The importance of using proper oil analysis is not always entirely clear to all users. There is a strategy that shows when it is necessary to change the oil. The oil might be used to indicate when and where the failure occurs in a vehicle. In other words, an oil analysis can reduce the severity of failures. Most often, oil analysis program combines the continuous attention to oil and the vehicles condition. By combining the instrumental methods of tribotechnical diagnostics (FTIR spectrometry, atomic emission spectrometry, particles analysis with the use of a laser analyzer) it was found that engine oil change intervals should be optimized to maximize the efficiency of engines and extend their lifetime. Changing the engine oil specified by the manufacturer of the buses is relatively conservative, does not reflect the operating motor conditions, fuel quality and individual driving habits and ambient conditions. (C) 2016 J. Glos, M. Sejkorova.
引用
收藏
页码:83 / 89
页数:7
相关论文
共 34 条
[1]   Viscosity sensors for engine oil condition monitoring -: Application and interpretation of results [J].
Agoston, A ;
Ötsch, C ;
Jakoby, B .
SENSORS AND ACTUATORS A-PHYSICAL, 2005, 121 (02) :327-332
[2]   Application of chemometrics and FTIR for determination of viscosity index and base number of motor oils [J].
Al-Ghouti, Mohammad Ahamd ;
Al-Degs, Yahya Salim ;
Amer, Mohammad .
TALANTA, 2010, 81 (03) :1096-1101
[3]  
Bekana D., 2015, Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, V63, P15, DOI 10.11118/actaun201563010015
[4]  
Capone Simonetta, 2008, 2008 IEEE Sensors, P442, DOI 10.1109/ICSENS.2008.4716473
[5]  
Cerny J, VLASTNOSTI MOTOROVYC
[6]  
Glos J, 2015, TRANSP MEANS, P103
[7]  
Glos J, 2011, TRANSP MEANS, P26
[8]  
Glos J, 2012, MACHINES TECHNOLOGIE, V6, P7
[9]  
Guo B, 2007, PETROLEUM PRODUCTION ENGINEERING: A COMPUTER-ASSISTED APPROACH, P1, DOI 10.1016/B978-075068270-1/50004-9
[10]  
Helebrant F., 2008, TECHNICKA DIAGNOSTIK