Improving Sensitivity of a Micro Inductive Sensor for Wear Debris Detection with Magnetic Powder Surrounded
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TLDR
It is found that the inductive signal would linearly increase with increasing the concentration of the magnetic powder and this enhancement would also be effective for wear debris of different sizes.Abstract:
The inductive detection of wear debris in lubrication oil is an effective method to monitor the machine status. As the wear debris is usually micro scale, a micro inductive sensor is always used to detect them in research papers or high-tech products. However, the improvement of detection sensitivity for micro inductive sensors is still a great challenge, especially for early wear debris of 20 μm or smaller diameter. This paper proposes a novel method to improve the detection sensitivity of a micro inductive sensor. Regarding the magnetic powder surrounding the sensor, the magnetic field in the core of the sensor where the wear debris pass through would be enhanced due to the increased relative permeability. Thus, the inductive signal would be improved and the detection sensitivity would be increased. It is found that the inductive signal would linearly increase with increasing the concentration of the magnetic powder and this enhancement would also be effective for wear debris of different sizes. In addition, the detection limit of the micro inductive sensor used in our experiment could be extended to 11 μm wear debris by the proposed method.read more
Citations
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Inductive Magnetic Nanoparticle Sensor based on Microfluidic Chip Oil Detection Technology.
TL;DR: The experimental results show that the inductive oil detection sensor made of magnetic nanoparticle material had a higher detection effect, and the signal-to-noise ratio (SNR) of 20–70 μm ferromagnetic particles was increased by 20%–25%.
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High-sensitivity distinguishing and detection method for wear debris in oil of marine machinery
TL;DR: In this paper, a double-wire solenoid coil and an inductance-resistance detection method are presented to improve the sensitivity of inductive detection method, especially for the detection of non-ferromagnetic particles.
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A Novel Multichannel Inductive Wear Debris Sensor Based on Time Division Multiplexing
TL;DR: A novel multichannel wear debris detection method based on time division multiplexing that has the potential to integrate more channels into one system, which would contribute to high throughput real time lubricant oil detection.
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Research on High Sensitivity Oil Debris Detection Sensor Using High Magnetic Permeability Material and Coil Mutual Inductance
Chengjie Wang,Chenzhao Bai,Zhaoxu Yang,Hongpeng Zhang,Wei Li,Xiaotian Wang,Yiwen Zheng,Lebile Ilerioluwa,Yuqing Sun +8 more
TL;DR: In this paper , a high sensitivity inductance sensor for the detection of debris in lubricating oil was proposed. But the traditional inductance detection method has low sensitivity and cannot meet the actual detection requirements.
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The Effects of Position on the Wear Debris Detection with Planar Inductor.
Yin Yi,Liu Zhijian,Zheng Jie,Chen Liang,Wu Sen,Wang Saijie,Zhijun Yan,Xinxiang Pan,Xinxiang Pan +8 more
TL;DR: A novel detection system in which the position of wear debris pass through could be adjusted precisely is designed and by changing the position in horizontal or vertical direction, the inductive signals of the wear debris were acquired.
References
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TL;DR: A comprehensive review of the state-of-the-art online sensors for measuring lubricant properties (e.g. wear debris, water, viscosity, aeration, soot, corrosion, and sulfur content) is presented in this paper.
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A high throughput inductive pulse sensor for online oil debris monitoring
TL;DR: In this paper, a high throughput inductive pulse sensor based on inductive Coulter counting principle for detecting metallic wear debris in lubrication oil is presented, which detects the passage of metallic debris by monitoring the inductance change of a two-layer planar coil with a meso-scale fluidic pipe crossing its center, which is designed to attain high throughput without sacrificing the sensitivity.
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Intelligent fault diagnosis of rotating machinery using infrared thermal image
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TL;DR: This study presents a new intelligent diagnosis system for classification of different machine conditions using data obtained from infrared thermography in which support vector machines and linear discriminant analysis methods are used as classifiers.
Journal ArticleDOI
Improving Sensitivity of an Inductive Pulse Sensor for Detection of Metallic Wear Debris in Lubricants Using Parallel LC Resonance Method
TL;DR: In this article, the authors applied an inductance-capacitance (LC) resonance method to an inductive pulse debris sensor to increase the sensitivity of small metallic wear debris.