电磁线圈
声学
电磁声换能器
传感器
材料科学
能量(信号处理)
信号(编程语言)
电子工程
工程类
物理
计算机科学
电气工程
超声波传感器
超声波检测
量子力学
程序设计语言
作者
Fulu Liu,Zhiying Li,Xiaofei Huang,Linhui Ma,Jiyao Li,H. P. Pu,Jun Long,Lijun Xu,Yuedong Xie
出处
期刊:IEEE Transactions on Instrumentation and Measurement
[Institute of Electrical and Electronics Engineers]
日期:2024-01-01
卷期号:73: 1-12
标识
DOI:10.1109/tim.2024.3353831
摘要
In this paper, we propose a method using T(0,1) guided waves combined with coil coding technique to detect defects in buried liquid-filled pipes implemented by an electromagnetic acoustic transducer (EMAT). Due to its non-dispersive properties and the fact that there is no energy loss in non-viscoelastic fluids, the T(0,1) mode is selected for pipe defects detection. The electromagnetic device that generates the circumferential magnetic field is optimized to excite the pure T(0,1) mode. To realize energy enhancement and defect location identification, the electromagnetic acoustic coil is spatially encoded by 11-bit Barker code and the receiver coil is multiplexed consisting of a spatial coded coil and a unit coil. The defect detection is accomplished through time-of-flight (TOF) time-frequency analysis, and the defect location identification is achieved by digital signal processing methods (cross-correlation and convolution). The feasibility of this method is verified by the finite element model and experimental analysis, indicating the defect locating error in a liquid-filled pipes is less than 1%. Overall, the proposed method achieves a high-precision flaw detection and location identification.
科研通智能强力驱动
Strongly Powered by AbleSci AI