一种补偿涡流测试升空噪声的传感器融合策略

IF 4.3 2区综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Sensors Journal Pub Date : 2024-11-20 DOI:10.1109/JSEN.2024.3493070

Jiyao Li;Yuedong Xie;Fulu Liu;Xiaofei Huang;Linhui Ma;Zhaoming Zhou;Lijun Xu

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引用次数: 0

摘要

涡流检测（ECT）在无损检测中得到了广泛的应用。然而，在检查过程中，ECT探头的上升距离的变化可能导致信号波动，这可能会模糊缺陷识别。为了解决这一挑战，提出了一种利用加速度计辅助传感探头的新型升空抑制方法。集成在ECT探头中的加速度计测量探头的加速度，允许起飞距离估计和进一步补偿。为了进一步增强这种补偿能力，提出了一种基于卡尔曼滤波的零离地更新算法，提高了离地距离估计的精度。实验结果表明，与原始信号相比，提升噪声显著降低，平均提升噪声峰值幅度（PAs）降低了9.26 -22.01 dB。此外，还研究了激励频率对升力抑制性能和缺陷检测能力的影响。

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A Sensor Fusion Strategy to Compensate Lift-Off Noise for Eddy Current Testing

Eddy current testing (ECT) has been extensively employed in nondestructive testing for the detection of defects. However, variations in the lift-off distance of the ECT probe during inspections can lead to signal fluctuations that possibly obscure defect identification. To address this challenge, a novel lift-off suppression method utilizing an accelerometer-assisted sensing probe is proposed. The accelerometer integrated into the ECT probe measures the probe’s acceleration, allowing for lift-off distance estimation and further compensation. To further enhance this compensation, a Kalman filtering-based zero-lift-off updating algorithm is developed, improving the accuracy of lift-off distance estimations. Experimental results demonstrate a substantial reduction in lift-off noise, with average lift-off noise peak amplitudes (PAs) reduced by 9.26 –22.01 dB compared to raw signals. In addition, the impact of excitation frequency on lift-off suppression performance and defect detection capability is investigated.

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来源期刊

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