1. Myshkin, N.K. and Markova, L.V., On-Line Condition Monitoring in Industrial Lubrication and Tribology, Berlin: Springer-Verlag, 2018.
2. Dempsey, P.J., Lewicki, D.G., and Decker, H.J., Investigation of gear and bearing fatigue damage using debris particle distributions, NASA Report no. TM-2004-212883.
https://doi.org/www.dtic.mil/cgi-bin/GetTRDoc?AD=ADA426760
. Accessed February 26, 2018.
3. Miller, J., and Kitaljevich, D., In-line oil debris monitor for aircraft engine condition assessment, IEEE Aerosp. Conf. Proc., 2000, vol. 6, pp. 49–56.
4. ASTM D7685-11(2016), Standard Practice for In-Line, Full Flow, Inductive Sensor for Ferromagnetic and Nonferromagnetic Wear Debris Determination and Diagnostics for Aero-Derivative and Aircraft Gas Turbine Engine Bearings, West Conshohocken, PA: ASTM Int., 2016.
5. Flanagan, I.M., Jordan, J.R., and Whittington, H.W., An inductive method for estimating the composition and size of metal particles, Meas. Sci. Technol., 1990, vol. 1, pp. 381–384.