Non-Dispersive Infrared Sensor for Online Condition Monitoring of Gearbox Oil

Rauscher, Markus S.; Tremmel, Anton J.; Schardt, Michael; Koch, Alexander W.

doi:10.3390/s17020399

Cited by 22 publications

(9 citation statements)

References 21 publications

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“…For example, oil degradation was evaluated by measuring the relative dielectric constant of oil. This degradation increases with the disappearance of molecularly broken additives in the oil [8,9,10]; further, it increases within the passing rate or absorption rate of infrared rays [11,12,13] and the increase in the viscosity of the oil [14,15,16]. Although these methods have merits and demerits, the engine oil measurement system should be robust and compatible with the harsh environment of the engine; it should also be compact for easy mounting on the vehicle.…”

Section: Introductionmentioning

confidence: 99%

Vibration Viscosity Sensor for Engine Oil Monitoring Using Metal Matrix Piezoelectric Composite

et al. 2019

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Lubricants such as engine oil play an important role in preventing machine wear and damage. Monitoring the deterioration of lubricating oils is a significant technical issue in machine maintenance. In this study, a sensor for monitoring engine oil viscosity was developed using a metal-core piezoelectric fiber/aluminum composite. This composite is a piezoelectric ceramic that is reinforced by a metal matrix; it is expected to be utilized in harsh environments such as the inside of an engine. An active type measurement method was employed to monitor variations in the viscosity of glycerin solution as a model liquid. In this method, a self-generated vibration is correlated to the viscosity of a liquid by measuring the damped vibration amplitude and the variation in the resonance frequency. The results showed that the vibration had a high sensitivity to the liquid viscosity; further, it was observed that the shift in resonance frequency correlated to a wider range of measurable viscosity. Both measured parameters indicate that the metal-core piezoelectric fiber/aluminum composite is a viable sensor for engine oil monitoring.

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Section: Introductionmentioning

confidence: 99%

Vibration Viscosity Sensor for Engine Oil Monitoring Using Metal Matrix Piezoelectric Composite

et al. 2019

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“…Over the last few decades, people have been working hard on the development of the on-line monitoring technique [1]. Consequently, a wide variety of monitoring methods based on the principles of vibration [2], spectroscopy [3], and oil analysis [4] have been proposed and developed. Among them, oil analysis provides the direct information of the oil quality and machine wear status [5,6].…”

Section: Introductionmentioning

confidence: 99%

The Effects of Position on the Wear Debris Detection with Planar Inductor

Yin

Liu

Zheng

et al. 2019

Sensors

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Wear debris detection is an effective method to determine the running state of the machine. Recently, the planar inductor is commonly used to detect wear debris. The previous studies have found that the inductive signal would be varied while changing the position of wear debris pass through. However, the effect of position on the wear debris detection is not well understood. In this paper, a novel detection system in which the position of wear debris pass through could be adjusted precisely is designed. By changing the position in horizontal or vertical direction, the inductive signals of the wear debris were acquired. In the horizontal direction, the experimental results show that the amplitude of the inductive signal first increases and then decreases when the position changes from the center of the planar inductor to the outer. The maximum inductive signal appears when the wear debris pass through the edge of the inner coil, which is 20% higher than that for the center and much higher than that for the edge of outer coil. In the vertical direction, the signal decreases almost linearly when the position is away from the planar inductor. For every 0.1 mm step far away the planar inductor, the signal amplitude drops by approximately 10%. The variation trend of our experimental results is consistent with the numerical simulation results of magnetic intensity around the planar inductor.

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“…As an example, Torres et al [ 37 ] propose a low-cost sensor solution based on the measurement of the complex permittivity of the lubricant. Rauscher et al [ 38 ] use a non-dispersive infrared spectroscopy measuring principle to monitor the oxidation, water content, and acid number of the lubricating oil in automotive and industrial gearboxes. Han et al present a cylinder capacitive sensor to detect changes in the lubrication oil condition of an engine lubrication system [ 39 ].…”

Section: Introductionmentioning

confidence: 99%

Low Cost Photonic Sensor for in-Line Oil Quality Monitoring: Methodological Development Process towards Uncertainty Mitigation

Palomo‐López

Mabe

Mezquita³

et al. 2018

Sensors

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Lubricant and hydraulic fluid ageing impacts the performance of the machines, gears, transmissions or automatisms where they are being used. This manuscript describes the work accomplished for bringing an innovative measurement concept for analysing the physical- chemical properties of these fluids, to a real industrial product ready to be integrated into different industrial equipment. The steps taken to deal with uncertainties and evolving requirements while progressing in the sensor development are described, covering the stages of theoretical formulation of the problem, optical and fluidic simulations, sensor prototype development and tests. The sensor working principle is based on a combination of transmittance and diffuse reflectance photonic inspection of the fluid sample that is collected in a micro-cavity through a standard hydraulic fitting. Photonics, electronics, micro-mechanics, fluidics, data processing and analysis has been merged with a deep knowledge in the lubricant degradation process to develop a sensor solution that is able to measure the Oil Degradation Index, Oil Oxidation, Acid Number, Ruler and Membrane Patch Colorimetry data from an in-service lubricating oil sample. The photonic micro sensor presented here offers a powerful tool that operates directly immersed in the fluid, at an economic cost and compacted size for in-line oil degradation monitoring.

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Non-Dispersive Infrared Sensor for Online Condition Monitoring of Gearbox Oil

Cited by 22 publications

References 21 publications

Vibration Viscosity Sensor for Engine Oil Monitoring Using Metal Matrix Piezoelectric Composite

Vibration Viscosity Sensor for Engine Oil Monitoring Using Metal Matrix Piezoelectric Composite

The Effects of Position on the Wear Debris Detection with Planar Inductor

Low Cost Photonic Sensor for in-Line Oil Quality Monitoring: Methodological Development Process towards Uncertainty Mitigation

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