Lubricants Health Monitoring



Published Oct 14, 2013
Giovanni Jacazio Marco Libraro Andrea Mornacchi Massimo Sorli


Fault inception and growth in the components of a mechanical power drive are often heavily affected by the lubricant health. As a consequence, monitoring the lubricant health status and signaling a degradation of the lubricant properties could improve the reliability of the mechanical drive. A further merit of implementing a lubricant health monitoring system is the possibility to move from a time- based maintenance to a condition-based maintenance with the ensuing decrease of operating costs and reduction of the environmental impact. This would be of a particular advantage for those applications in which loss of operation generated by poor lubrication could cause a service disruption or lead to a safety critical condition. The proposed paper presents the initial part of an ongoing research activity on lubricants health monitoring. The work so far performed consisted of the following activities: perform a critical review of the studies addressing the lubricants condition; determine which are the significant features of the lubricants used in the majority of mechanical systems, that need to be extracted to assess the lubricant health; which occurences affect the lubricant health and how the oil health status can be assessed by different techniques, whose relative merits will be discussed; define the progression of the degradation of the lubricant health status; present the initial study of how different lubricant health monitoring techniques can be fused together to develop an efficient on-line lubricant health monitoring system. The paper thus presents the summary of the work performed to establish the fundamentals onto which a reliable PHM system for the lubricants of mechanical drives can be developed, that will be the final objective of the on-going research activity.

How to Cite

Jacazio, G. ., Libraro, M. ., Mornacchi, A. ., & Sorli, M. . (2013). Lubricants Health Monitoring. Annual Conference of the PHM Society, 5(1).
Abstract 3929 | PDF Downloads 164



actuator, lubrication oil, mechanical components

Adhvaryu, A., Erhan, S. Z., Liu, Z. S., & Perez, J. M. (2000). Oxidation kinetic studies of oils derived from unmodified and genetically modified vegetables using pressurized differential scanning calorimetry and nuclear magnetic resonance spectroscopy. Thermochimica Acta , 364, pp. 87-97.

ASTM D2272 - 11. (2009). Standard Test Method for Oxidation Stability of Steam Turbine Oils by Rotating Pressure Vessel.

ASTM D6186 - 08. (2003). Standard Test Method for Oxidation Induction Time of Lubricating Oils by Pressure Differential Scanning Calorimetry (PDSC).

ASTM D943. (2010). Standard Test Method for Oxidation Characteristics of Inhibited Mineral Oils.

ASTM D974 - 12. (2011). Standard Test Method for Acid and Base Number by Color-Indicator Titration.

Bowman, W. F., & Stachowiak, G. W. (1998). Application of sealed capsule differential scanning calorimetry part I: Predicting the remaining useful life of industry-used turbine oils. Lubrication Engineering , 54 (1), pp. 19- 24.

Bowman, W. F., & Stachowiak, G. W. (1996). Determining the oxidation stability of lubricating oils using sealed capsule differential scanning calorimetry (SCDSC). Tribology International , 29 (1), pp. 27-34.

Bowman, W. F., & Stachowiak, G. W. (1996). New criteria to assess the remaining useful life of industrial turbine oils. Lubrication Engineering. Lubrication Engineering , 52 (10), pp. 745-750.

Byington, C., Mackos, N., Argenna, G., Palladino, A., Reimann, J., & Schmitigal, J. (2012). Application of symbolic regression to electrochemical impedance spectroscopy data for lubricating oil health evaluation. Annual conference of the prognostics and health management society 2012. September 23-27, Minneapolis, MN.

Carullo, A., Ferraris, F., Parvis, M., Vallan, A., Angelini, E., & Spinelli, P. (2000). Low-cost electrochemical impedance spectroscopy system for corrosion monitoring of metallic antiquities and works of art. IEEE Transactions on Instrumentation and Measurement , 49 (2), pp. 371-375.

Dupuis, R. (2010). Application of oil debris monitoring for wind trubine gearbox prognostics and health management. Annual Conference of the prognostics and health management society, 2010. October 13-16 , Portland, OR.

Fox, N. J., Simpson, A. K., & Stachowiak, G. W. (2001). Sealed capsule differential scanning calorimetry: An effective method for screening the oxidation stability of vegetable oil formulations. Lubrication Engineering , 57 (10), pp. 14-20.

Kauffman, R. E., & Rhine, W. E. (1988). Development of a remaining useful life of a lubricant evaluation technique. Part I: differential scanning calorimetric techniques. Lubrication Engineering , 44, pp. 154 - 161.

Koza, J. R. (1992). Genetic programming: on the programming f of computers by means of natural selection. MIT Press.

Lvovich, V. F. (2012). Impedance spectroscopy, Applications to electrochemical and dielectric phenomena. Wiley.

Lvovich, V. F., & Smiechowski, M. F. (2008). Non-linear impedance analysis of industrial lubricants. Electrochimica Acta , 53, pp. 7375-7385.

Perez, J. M. (2000). Oxidative properties of lubricants using thermal analysis. Thermochimica Acta , 357-358, pp. 47-56.

Raadnui, S., & Kleesuwan, S. (2005). Low-cost condition monitoring sensor for used oil analysis. Wear , 259, pp. 1502-1506.

Sharma, B. K., & Stipanovic, A. J. (2003). Development of a new oxidation stability test method for lubricating oils using high-pressure differential scanning calorimetry. Thermochimica Acta , 402 (1-2), pp. 1-18.

Sjödin, E., & Westin, P. O. (2013). Comparison of optical and magnetic particle detection systems for detection of pitting damage in low speed hydraulic motors. The 13th
Scandinavian International Conference on Fluid Power, SICFP2013. June 3-5, Linköping, Sweden.

Stachowiak, G. W., & Batchelor, A. W. (2005). Engineering Tribology. Butterworth Heinemann.

Zeman, A., Sprengel, A., Niedermeier, D., & Späth, M. (1995). Biodegradable lubricants: studies on thermo- oxidationof metal-working and hydraulic fluids by differential scanning calorimetry (DSC). Thermochimica Acta , 268, pp. 9-15.

Zhu, J., Yoon, J. M., He, D., Qu, Y., & Bechhoefer, E. (2013). Lubrication oil condition monitoring and remaining useful life prediction with particle filtering. International Journal of Prognostics and Health Management , 4 (20), p. 27.
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