A Lubricating Oil Condition Monitoring System Based on Wear Particle Kinematic Analysis in Microfluid for Intelligent Aeroengine

Abstract

Lubricating oil monitoring technology is a commonly used method in aeroengine condition monitoring, which includes particle counting technology, as well as spectral and ferrography technology in offline monitoring. However, these technologies only analyze the characteristics of wear particles and rely on physical and chemical analysis techniques to monitor the oil quality. In order to further advance offline monitoring technology, this paper explores the potential role of differences in wear particle kinematic characteristics in recognizing changes in wear particle diameter and oil viscosity. Firstly, a kinematic force analysis of the wear particles in the microfluid was carried out. Accordingly, a microfluidic channel conducive to observing the movement characteristics of particles was designed. Then, the wear particle kinematic analysis system (WKAS) was designed and fabricated. Secondly, a real-time tracking velocity measurement algorithm was developed by using the Gaussian mixture model (GMM) and the blob-tracking algorithm. Lastly, the WKAS was applied to a pin–disc tester, and the experimental results show that there is a corresponding relationship between the velocity of the particles and their diameter and the oil viscosity. Therefore, WKAS provides a new research idea for intelligent aeroengine lubricating oil monitoring technology. Future work is needed to establish a quantitative relationship between wear particle velocity and particle diameter, density, and oil viscosity.

Multi-Channel Dual-Mode Oil Multi-Pollutant Detection Sensor

“…Then coarse capillary (5) was passed through the center hole of detection unit I and one end of coarse capillary was connected to 1 and sealed, and the other end was padded with PMMA underneath. Finally, the three oil reservoirs (6) were arranged in the position shown in Figure 1a.…”

“…Oil contaminants mainly include solid particles, water, and air bubbles [5][6][7]. These contaminants are metal wear particles generated by the friction of mechanical parts, and water and air bubbles generated by the poor sealing of equipment.…”

Sensors and tribological systems: applications for industry 4.0

“…The paper aims to compare the kinematic viscosity of lubricant from four different sensors. It was seen that consistent results were only obtained for stabinger while as other were not precise (Liu et al, 2021b) Wear Particle Kinematic Analysis System (WKAS)…”

Research Progress and Development Trend of Prognostics and Health Management Key Technologies for Equipment Diesel Engine

“…Yan et al [10] investigated weighted evidence data fusion techniques to enable fault diagnosis of diesel engine drive systems by monitoring lube oil fluid information. Liu et al [11] proposed an intelligent monitoring technique for engine lubricating oil based on kinematic analysis of microfluidic oil wear particles and developed a real-time tracking condition monitoring algorithm. Compared to vibration analysis, the oil collection process is complex, and the analysis steps are tedious and time-consuming, making it more suitable for detecting the extent of the fault, while determining the exact location of the fault is relatively difficult.…”