An Impedance Debris Sensor Based on a High-Gradient Magnetic Field for High Sensitivity and High Throughput

Shi, Haotian; Zhang, Hongpeng; Ma, Lei; Rogers, Foday; Zhao, Xupeng; Zeng, Lin

doi:10.1109/tie.2020.2988237

Cited by 46 publications

(12 citation statements)

References 32 publications

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“…Ren's work [11] can detect ferromagnetic and non-ferromagnetic pollutants, but the detection accuracy is relatively low. The works of [14,16] can detect relatively high accuracy, but there is still an improved level. This paper designs a sensor for monitoring metal pollutants in oil.…”

Section: Discussionmentioning

confidence: 99%

“…Through the connection of two planar coil circuits, it can effectively detect four types of pollutants such as ferromagnetic, non-ferromagnetic particles, water droplets, and bubbles, but the detection accuracy is low. Shi et al [14] designed a high-gradient magnetic field sensor based on the structure of the double-coil, which improved the detection accuracy of the double-planar coil and was able to identify 30 µm iron particles and 100 µm copper particles. The double-coil structure used in the above detection method mainly uses the mutual inductance generated by the double-coil which is greater than the inductance value of a single coil.…”

Section: Introductionmentioning

confidence: 99%

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Design and Research of Inductive Oil Pollutant Detection Sensor Based on High Gradient Magnetic Field Structure

Bai

Wang

et al. 2021

Micromachines

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An inductive oil pollutant detection sensor based on a high-gradient magnetic field structure is designed in this paper, which is mainly used for online detection and fault analysis of pollutants in hydraulic and lubricating oil systems. The innovation of the sensor is based on the inductance detection method. Permalloy is embedded in the sensing region of the sensor, so that the detection area generates a high gradient magnetic field to enhance the detection accuracy of the sensor. Compared with traditional inductive sensors, the sensor has a significant improvement in detection accuracy, and the addition of permalloy greatly improves the stability of the sensor’s detection unit structure. The article theoretically analyzes the working principle of the sensor, optimizes the design parameters and structure of the sensor through simulation, determines the best permalloy parameters, and establishes an experimental system for verification. Experimental results show that when a piece of permalloy is added to the sensing unit, the signal-to-noise ratio (SNR) of iron particles is increased by more than 20%, and the signal-to-noise ratio of copper particles is increased by more than 70%. When two pieces of permalloy are added, the signal-to-noise ratio for iron particles is increased by more than 70%, and the SNR for copper particles is increased several times. This method raises the lower limit of detection for ferromagnetic metal particles to 20 μm, and the lower limit for detection of non-ferromagnetic metal particles to 80 μm, which is the higher detection accuracy of the planar coil sensors. This paper provides a new and faster online method for pollutant detection in oil, which is of great significance for diagnosing and monitoring the health of oil in mechanical systems.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Design and Research of Inductive Oil Pollutant Detection Sensor Based on High Gradient Magnetic Field Structure

Bai

Wang

et al. 2021

Micromachines

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“…The technology of sensor structure design includes the design of microfluidic sensor [15], the optimization design of sensor structure parameters [16], the design of new sensor detection structure [17], the design of sensor detection mode [18], the design of sensor internal magnetic field enhancement structure [19] and so on. With the development of microfabrication technology, the inductive detection method of oil contaminants based on microfluidic chips has been widely used, which improves the detection sensitivity of wear debris while sacrificing throughput.…”

Section: Introductionmentioning

confidence: 99%

Online Detection System of Metal Wear Debris Based on Symmetrical Magnetic Excitation Balance Magnetic Field Model

Bai

et al. 2022

Preprint

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The metal wear debris generated by wear during the operation of the mechanical equipment can reflect the fault status of the equipment, and the online monitoring of the metal wear debris in the oil can timely understand the operation information of the equipment. Aiming at the effective response of metal wear debris under symmetrical magnetic excitation, an online monitoring system for metal wear debris with dual-coil balanced magnetic excitation was developed. Based on the spatial magnetic field distribution of the current-carrying element, an analytical model of the magnetic field intensity distribution of a single-turn current-carrying ring is designed, and it is optimized as a single set of coils made of a current-carrying ring, and the coupling of the magnetic excitation of the symmetrical double coil is deduced. The magnetic field distribution model is simulated and analyzed by numerical method. The flow channel of the system is 8 mm. After the semi-physical simulation test with the wear debris speed of 3.03-5.25 m/s, the sensor can realize the detection of 100 μm ferromagnetic metal and 1000 μm non-ferromagnetic metal. The experiment verifies the correctness of the simulation model of the coupled magnetic field distribution. This research provides technical support for the detection of hydraulic oil contaminants, which is of great significance for preventing hydraulic system failures and extending the working life of hydraulic equipment.

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“…However, because the offline detection process involves sampling, inspection, laboratory detecting, data analysis, etc., there are shortcomings such as high cost, long cycle, and the inability to reflect the real-time status of hydraulic oil. Online monitoring is a real-time detection method based on different principles of sensor, which mainly includes optical method [ 7 , 8 ], ultrasonic method [ 9 , 10 ], inductance method [ 11 , 12 ] and capacitance method [ 13 , 14 ]. Among them, the inductance method can distinguish between ferromagnetic and non-ferromagnetic metal debris and has the advantages of simple structure and reliable performance.…”

Section: Introductionmentioning

confidence: 99%

A Novel Impedance Micro-Sensor for Metal Debris Monitoring of Hydraulic Oil

Zhang

Shi

et al. 2021

Micromachines

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Hydraulic oil is the key medium for the normal operation of hydraulic machinery, which carries various wear debris. The information reflected by the wear debris can be used to predict the early failure of equipment and achieve predictive maintenance. In order to realize the real-time condition monitoring of hydraulic oil, an impedance debris sensor that can detect inductance and resistance parameters is designed and studied in this paper. The material and size of wear debris can be discriminated based on inductance-resistance detection method. Silicon steel strips and two rectangular channels are designed in the sensor. The silicon steel strips are used to enhance the magnetic field strength, and the double rectangular detection channels can make full use of the magnetic field distribution region, thereby improving the detection sensitivity and throughput of the sensor. The comparison experiment shows that the coils in series are more suitable for the monitoring of wear debris. By comparing and analyzing the direction and the presence or absence of the signal pulses, the debris sensor can detect and distinguish 46 µm iron particles and 110 µm copper particles. This impedance detection method provides a new technical support for the high-precision distinguishing measurement of metal debris. The sensor can not only be used for oil detection in the laboratory, but also can be made into portable oil detection device for machinery health monitoring.

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An Impedance Debris Sensor Based on a High-Gradient Magnetic Field for High Sensitivity and High Throughput

Cited by 46 publications

References 32 publications

Design and Research of Inductive Oil Pollutant Detection Sensor Based on High Gradient Magnetic Field Structure

Design and Research of Inductive Oil Pollutant Detection Sensor Based on High Gradient Magnetic Field Structure

Online Detection System of Metal Wear Debris Based on Symmetrical Magnetic Excitation Balance Magnetic Field Model

A Novel Impedance Micro-Sensor for Metal Debris Monitoring of Hydraulic Oil

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