Reducing Motion-Induced Noise With Mechanically Resonant Coil Sensor in a Rigid Helicopter Transient Electromagnetic System

电磁线圈 瞬态(计算机编程) 噪音(视频) 信号(编程语言) 物理 声学 感应式传感器 电磁场 核磁共振 电气工程 计算机科学 工程类 人工智能 图像(数学) 程序设计语言 操作系统 量子力学
作者
Fei Liu,Jun Lin,Yanzhang Wang,Shilong Wang,Quan Xu,Xuefeng Cao,Zhanhui Li,Chen Bin
出处
期刊:IEEE Transactions on Industrial Electronics [Institute of Electrical and Electronics Engineers]
卷期号:67 (3): 2391-2401 被引量:21
标识
DOI:10.1109/tie.2019.2907495
摘要

Motion-induced noise (MIN) level is a crucial factor in a rigid helicopter transient electromagnetic (TEM) system, which is limited by two intrinsic constraints. First, the large transient transmitting current generates a disordered electromagnetic field at the sensing area that restricts the configuration of the coil sensor. Paradoxically, the MIN's frequency range is from 10 to 40 Hz, which covers the TEM signal's base frequency (25 Hz) due to the mechanical character of the coil sensor on the platform. Filtering the MIN is very difficult because the MIN and TEM signals are cogenetic from the coil sensor and they have overlapping frequency distributions. An effective way to reduce the MIN is to separate it from the TEM signal in the frequency spectrum. Hence, a mechanically resonant coil sensor configuration is designed in this paper to change the mechanical character of the coil sensor and reconcile the two conflicting aspects. Prospectively, the frequency of the MIN is decreased to 8.6 Hz. After processing the recorded data with the same method as before, the MIN level is reduced to 10 nV/m 2 from previously 60 nV/m 2 in field exploration. Given the anomaly response over the ore body, the detection resolution is improved. The detection depth can be increased by dozens of meters based on the explanatory layer model.

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