In this paper, for the detection of wear particles in lubricating oil roads, by an-alyzing the particle belt motor, a mathematical model of the oil circuit electro-static sensor considering the dielectric constant is proposed. At the same time, the concept of spatial sensitivity and visual field is introduced. The influencing factors of the position of the charged abrasive particles, the axial length of the sensor and the radial radius were studied respectively. The influence of each variable on the sensitivity was obtained, and the accuracy of the mathematical model was also verified. The simulation results show that reducing the radial radius of the sensor can effectively increase the spatial sensitivity of the electrostatic sensor; the larger the axial length L of the electrode, the higher the sensitivity, and the more uniform the cross-sectional sensitive field distribution; in the axial and radial directions, the larger the shaft diameter ratio, the more sensitive the sensor is and the more sensitive it is.
Cite this paper
Jin, Z. and Zhang, F. (2018). Analysis of Spatial Sensitivity Based on Electrostatic Monitoring Technique in Oil-Lubricated System. Open Access Library Journal, 5, e4969. doi: http://dx.doi.org/10.4236/oalib.1104969.
Harvey, T.J., Wood, R.J.K. and Powrie, H.E.G. (2007) Electrostatic Wear Monitoring of Rolling Element Bearings. Wear, 263, 1492-1501. https://doi.org/10.1016/j.wear.2006.12.073
Wen, Z., Ma, X. and Zuo, H. (2014) Characteristics Analysis and Experiment Verification of Electrostatic Sensor for Aero-Engine Exhaust Gas Monitoring. Measurement, 47, 633-644. https://doi.org/10.1016/j.measurement.2013.09.041
Powrie, H.E.G. and Fisher, C.E. (1999) Engine Health Monitoring: Towards Total Prognostics. 1999 IEEE Aerospace Conference, Snowmass, 7 March 1999, 11-20. https://doi.org/10.1109/AERO.1999.789759
Gajewski, J.B. (1996) Monitoring Electrostatic Flow Noise for Mass Flow and Mean Velocity Measurement in Pneumatic Transport. Journal of Electrostatics, 37, 261-276. https://doi.org/10.1016/0304-3886(96)00016-2
Gajewski, J.B. (1999) Electrostatic Flow Probe and Measuring System Calibration for Solids Mass Flow Rate Measurement. Journal of Electrostatics, 45, 255-264. https://doi.org/10.1016/S0304-3886(98)00048-5
Yan, Y., Byrne, B., Woodhead, S. and Coulthard, J. (1995) Velocity Measurement of Pneumatically Conveyed Solids Using Electrodynamic Sensors. Measurement Science and Technology, 6, 515-537. https://doi.org/10.1088/0957-0233/6/5/013
Xu, C., Zhou, B. and Wang, S. (2010) Dense-Phase Pneumatically Conveyed Coal Particle Velocity Measurement Using Electrostatic Probes. Journal of Electrostatics, 68, 64-72. https://doi.org/10.1016/j.elstat.2009.10.003
Wang, S., Xu, C., Li, J., et al. (2016) An Instrumentation System for Mul-ti-Parameter Measurements of Gas-Solid Two-Phase Flow Based on Capacitance-Electrostatic Sensor. Measurement, 94, 812-827. https://doi.org/10.1016/j.measurement.2016.09.010
Liu, R.C., Zuo, H.F., Sun, J.Z., et al. (2017) Simulation of Electrostatic Oil Line Sensing and Validation Using Experimental Results. Tribology International, 105, 15-26. https://doi.org/10.1016/j.triboint.2016.09.026
Mao, H., Zuo, H., Huang, W., et al. (2016) Mathematical Modelling and Calibration Experiment of New Electrostatic Sensor in Aviation. Acta Aeronautica et Astronautica Sinica, 37, 2242-2250.
Chen, Z.X., Zuo, H.F., Zhan, Z.J., et al. (2012) Study of Oil System Oil-Line Debris Electrostatic Monitoring Technology. Acta Aeronautica et Astronautica Sinica, 33, 446-452.
