Characterization of the superposition of mixed signals of polymetallic particles

IF 4.9 3区工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

Sensors and Actuators A-physical Pub Date : 2026-03-01 Epub Date: 2026-01-13 DOI:10.1016/j.sna.2026.117474

Chenyong Wang, Zhongyang Cai, Chenzhao Bai, Shukui Hu, Xiangming Kan, Xurui Zhang, Riwei Wang, Hongpeng Zhang

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引用次数: 0

Abstract

When the abrasive particles gather in the oil and pass through the sensor, the mixed abrasive particles will cause false alarms and missed alarms of the monitoring equipment. To enhance the precision of detecting abrasive particles, an analysis was conducted on the impact of various mixtures of iron and copper particles on the detection signal. The results show that the magnetization coupling between ferromagnetic particles and eddy current coupling between non-ferromagnetic particles significantly affect the detection signal. The closer the particle aggregation shape is to the spherical shape, the more significant the eddy current effect is and the weaker the magnetic induction strength is. The study proposes a multi-metal particle differentiation and identification method based on the amplitude of the inductive-resistive signal, which can accurately differentiate 75 % of the particle combinations, and the remaining 25 % can be differentiated by the change rule of the signal curve, providing theoretical and experimental support for improving the accuracy of multi-metal particle detection in oil fluids.

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多金属粒子混合信号叠加的表征

当磨料颗粒聚集在油中并通过传感器时，混合的磨料颗粒会引起监控设备的误报和漏报。为了提高磨料颗粒检测的精度，分析了不同铁、铜颗粒混合物对检测信号的影响。结果表明，铁磁粒子之间的磁化耦合和非铁磁粒子之间的涡流耦合对检测信号有显著影响。颗粒聚集形状越接近球形，涡流效应越显著，磁感应强度越弱。研究提出了一种基于感阻信号幅值的多金属颗粒鉴别与识别方法，可准确鉴别75% %的颗粒组合，剩余的25% %可根据信号曲线变化规律进行鉴别，为提高油液中多金属颗粒的检测精度提供了理论和实验支持。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Sensors and Actuators A-physical 工程技术-工程：电子与电气

CiteScore

8.10

自引率

6.50%

发文量

630

审稿时长

49 days

期刊介绍： Sensors and Actuators A: Physical brings together multidisciplinary interests in one journal entirely devoted to disseminating information on all aspects of research and development of solid-state devices for transducing physical signals. Sensors and Actuators A: Physical regularly publishes original papers, letters to the Editors and from time to time invited review articles within the following device areas: • Fundamentals and Physics, such as: classification of effects, physical effects, measurement theory, modelling of sensors, measurement standards, measurement errors, units and constants, time and frequency measurement. Modeling papers should bring new modeling techniques to the field and be supported by experimental results. • Materials and their Processing, such as: piezoelectric materials, polymers, metal oxides, III-V and II-VI semiconductors, thick and thin films, optical glass fibres, amorphous, polycrystalline and monocrystalline silicon. • Optoelectronic sensors, such as: photovoltaic diodes, photoconductors, photodiodes, phototransistors, positron-sensitive photodetectors, optoisolators, photodiode arrays, charge-coupled devices, light-emitting diodes, injection lasers and liquid-crystal displays. • Mechanical sensors, such as: metallic, thin-film and semiconductor strain gauges, diffused silicon pressure sensors, silicon accelerometers, solid-state displacement transducers, piezo junction devices, piezoelectric field-effect transducers (PiFETs), tunnel-diode strain sensors, surface acoustic wave devices, silicon micromechanical switches, solid-state flow meters and electronic flow controllers. Etc...