A highly sensitive triple-coil inductive debris sensor based on an effective unbalance compensation circuit

Ren, Yijun; Zhao, Guo Feng; Qian, Min; Feng, Zhi Hua

doi:10.1088/1361-6501/aaf119

Cited by 40 publications

(23 citation statements)

References 24 publications

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“…As shown in Figure 4, the signal of wear debris is related to the cube of the particle size for both cases. This is consistent with previous research papers [27]. In addition, the signal of wear debris for coil with magnetic powder was larger than that without.…”

Section: Experiments and Discussionsupporting

confidence: 93%

Improving Sensitivity of a Micro Inductive Sensor for Wear Debris Detection with Magnetic Powder Surrounded

et al. 2019

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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.

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Section: Experiments and Discussionsupporting

confidence: 93%

Improving Sensitivity of a Micro Inductive Sensor for Wear Debris Detection with Magnetic Powder Surrounded

et al. 2019

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“…The sensor designed by BUAA (Beihang University) [34] had a detection accuracy of 81 µm iron particles, and the study did not involve non-ferromagnetic particles. The inductive sensor designed by USTC (University of Science and Technology of China) could detect 130 µm iron particles and 230 µm copper particles [35]. The sensor designed by us could detect 20 µm iron particles and 80 µm copper particles.…”

Section: Resultsmentioning

confidence: 99%

Inductive Magnetic Nanoparticle Sensor Based on Microfluidic Chip Oil Detection Technology

et al. 2020

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The wear debris in hydraulic oil or lubricating oil has a wealth of equipment operating information, which is an important basis for large mechanical equipment detection and fault diagnosis. Based on traditional inductive oil detection technology, magnetic nanoparticles are exploited in this paper. A new inductive oil detection sensor is designed based on the characteristics of magnetic nanoparticles. The sensor improves detection sensitivity based on distinguishing between ferromagnetic and non-ferromagnetic wear debris. Magnetic nanoparticles increase the internal magnetic field strength of the solenoid coil and the stability of the internal magnetic field of the solenoid coil. During the experiment, the optimal position of the sensor microchannel was first determined, then the effect of the magnetic nanoparticles on the sensor’s detection was confirmed, and finally the concentration ratio of the mixture was determined. 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%. The detection signal-to-noise ratio (SNR) of 80–130 μm non-ferromagnetic particles was increased by 16%–20%. The application of magnetic nanoparticles is a new method in the field of oil detection, which is of great significance for fault diagnosis and the life prediction of hydraulic systems.

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“…Du et al [ 19 ] attempted a parallel LC resonance circuit with unique resonant frequency to improve the SNR and sensitivity of the inductive sensor. Ren et al [ 20 ] designed an effective unbalance compensation circuit to prevent the asymmetry of the excitation coils from limiting the sensor’s sensitivity, so as to enhance the useful signal and its stability for better detection results. Zhang et al [ 21 ] presented a debris sensor with the structure of two planar coils in parallel, and a detection region with a high-gradient magnetic field is established by the two excitation silicon steel strips and a built-in silicon steel strip; this sensor can detect and distinguish 25 μm iron particles and 85 μm copper particles.…”

Section: Introductionmentioning

confidence: 99%

Improving the Detection Ability of Inductive Micro-Sensor for Non-Ferromagnetic Wear Debris

et al. 2020

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The inductive debris sensor has been studied because of its wide application prospects in mechanical health monitoring. In order to ensure a high-precision detection performance, a comprehensive method to improve the detection sensitivity and detection ability of the inductive sensor for non-ferromagnetic metal debris is proposed. Based on the characteristics of the eddy current inside the metal, the change of the coil impedance caused by the metal debris is increased by enhancing the magnetic field strength and selecting the optimal excitation frequency. The impedance detection method involving inductance and resistance parameters is used to improve the detection limit of non-ferromagnetic metal debris. The experimental results verify that the magnetic field in the detection region can be enhanced by adding a silicon steel strip (paramagnetic material) in the central hole of the coil, thereby greatly improving the detection sensitivity of the inductive sensor, and the concentrated distribution of the magnetic field avoids the double-peak signals generated by a single particle. The characteristics of the signal amplitude of non-ferromagnetic debris with excitation frequency are studied. Higher inductance, resistance amplitudes, and signal-to-noise ratio (SNR) can be obtained by using a high-frequency alternating current. Compared with inductance parameter detection, resistance parameter detection can detect smaller non-ferromagnetic debris. Combining the detection results of the inductance and resistance parameters can effectively improve the sensor’s ability to detect non-ferromagnetic debris.

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A highly sensitive triple-coil inductive debris sensor based on an effective unbalance compensation circuit

Cited by 40 publications

References 24 publications

Improving Sensitivity of a Micro Inductive Sensor for Wear Debris Detection with Magnetic Powder Surrounded

Improving Sensitivity of a Micro Inductive Sensor for Wear Debris Detection with Magnetic Powder Surrounded

Inductive Magnetic Nanoparticle Sensor Based on Microfluidic Chip Oil Detection Technology

Improving the Detection Ability of Inductive Micro-Sensor for Non-Ferromagnetic Wear Debris

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