Effect of Excitation Frequency on Motion-Induced Eddy Current and Speed Measurement

IF 4.3 2区 综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Yiru Xiao;Bo Feng;Jikai Zhang;Kun Mao;Kai Wang;Yini Song;Yihua Kang
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引用次数: 0

Abstract

The method of motion-induced eddy current (MIEC) is significant not only for defect detection but also for speed sensing. This article investigates the effect of excitation frequency on the distribution of MIEC and the speed sensing results. First, a 2-D analytical model of MIEC with ac excitation is proposed, based on Maxwell’s equations. The speed sensor in the model is composed of an excitation coil and a Hall element. The density of the eddy currents within the conductor and the magnetic field strength in the air are calculated. Subsequently, finite element analyses are used to verify the accuracy of the theoretical model. The distribution of eddy current and speed sensing results with dc and ac excitation are analyzed, along with the effect of excitation frequency and conductor moving speed on the eddy current in the specimen and the magnetic field in the air. It was found that the speed sensor based on dc excitation exhibits higher sensitivity in the speed range of 0–30 m/s, while the speed measurement results under 0–120 Hz ac excitation demonstrate improved linearity. In addition, the interference of MIECs on induced eddy currents decreases as the excitation frequency increases. Speed sensing experiments are conducted on a rotating disk, and the experimental results are in good agreement with the theoretical calculations.
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来源期刊
IEEE Sensors Journal
IEEE Sensors Journal 工程技术-工程:电子与电气
CiteScore
7.70
自引率
14.00%
发文量
2058
审稿时长
5.2 months
期刊介绍: The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following: -Sensor Phenomenology, Modelling, and Evaluation -Sensor Materials, Processing, and Fabrication -Chemical and Gas Sensors -Microfluidics and Biosensors -Optical Sensors -Physical Sensors: Temperature, Mechanical, Magnetic, and others -Acoustic and Ultrasonic Sensors -Sensor Packaging -Sensor Networks -Sensor Applications -Sensor Systems: Signals, Processing, and Interfaces -Actuators and Sensor Power Systems -Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting -Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data) -Sensors in Industrial Practice
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