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Extended-Bandwidth Spacecraft Attitude Jitter Detection Based on Adaptive Sequential Kalman Algorithm 基于自适应序列卡尔曼算法的扩展带宽航天器姿态抖动检测
IF 5.9 2区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2026-01-12 DOI: 10.1109/TIM.2025.3648088
Weixiao Tuo;Guanhao Liu;Xingfei Li;Tianyu Wang
In-orbit microangular vibration has been recognized as a key contributor to the satellite-borne optical communication system. A magnetohydrodynamic (MHD) angular rate sensor with extremely low noise and high frequency is the most suitable instrument for microangular vibration measurement. However, it exhibits poor near-dc sensitivity due to the influence of viscous force and electromagnetic force. The Kalman algorithm has been verified to be an effective method to extend the sensor bandwidth by fusing with other sensors. However, the traditional Kalman algorithm cannot deal with the unpredictable dynamics of the system due to its invariant parameters over time. In this work, an adaptive sequential Kalman algorithm is proposed. The high-dimensional measurement updates are reduced to multiple low-dimensional measurement updates. The covariance matrix of the measurement noise is set to be adaptively updated and computed in segments. The process noise covariance matrix is derived via weighted coefficient analysis by minimizing the mean square error. The computing time of the proposed method is proven to be a 38.39% reduction compared to the traditional Kalman method. The proposed method is realized in real-time to experimentally verify the frequency response and noise characteristics of the composite sensor. Results show that the bandwidth can achieve 0.1–700 Hz with a maximum amplitude fluctuation of 1.34 dB. The equivalent noise angular rate is 0.1523°/s root mean square (RMS). Allan variance analysis indicates that the bias instability and angle random walk of the composite sensor are both better than the other methods.
在轨微角振动是星载光通信系统的重要组成部分。极低噪声、高频率的磁流体动力角速率传感器是最适合测量微角振动的仪器。但由于粘滞力和电磁力的影响,其近直流灵敏度较差。卡尔曼算法是一种通过与其他传感器融合来扩大传感器带宽的有效方法。然而,传统的卡尔曼算法由于其参数随时间的不变而无法处理系统的不可预测动态。本文提出了一种自适应序列卡尔曼算法。将高维测量更新简化为多个低维测量更新。将测量噪声的协方差矩阵设置为分段自适应更新和计算。通过加权系数分析,最小化均方误差,得到过程噪声协方差矩阵。与传统的卡尔曼方法相比,该方法的计算时间缩短了38.39%。实时实现了该方法,实验验证了复合传感器的频率响应和噪声特性。结果表明,该系统带宽可达0.1 ~ 700 Hz,最大振幅波动为1.34 dB。等效噪声角速率为0.1523°/s均方根(RMS)。Allan方差分析表明,复合传感器的偏置不稳定性和角度随机游走都优于其他方法。
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引用次数: 0
Multidirectional Strain-Insensitive Stretchable Temperature Sensor for Active Thermal Protection Flexible Skin 用于主动热保护柔性皮肤的多向应变不敏感可拉伸温度传感器
IF 5.9 2区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2026-01-12 DOI: 10.1109/TIM.2025.3650255
Yaoguang Shi;Xiaozhou Lü;Zhuolun Li;Haoning Chu;Chao Yuan;Weimin Bao
Flexible skins with active thermal protection systems have attracted considerable attention owing to their role as essential enabling technologies for morphing high-speed vehicles. Temperature sensors integrated into flexible skin can help regulate and optimize coolant consumption. However, it is often difficult to obtain strain-insensitive temperature measurements under multidirectional deformations of flexible skin. Therefore, this study investigates a novel multidirectional strain-insensitive stretchable temperature sensor (STS) based on a hexagram structure. A sensor prototype was fabricated with a measurement range of $200~^{circ }$ C and a temperature coefficient of resistance (TCR) of 0.30%/°C. Furthermore, it achieved hysteresis and repeatability errors of 0.83% and 1.79%, respectively. The proposed sensor exhibited a resistance variation of less than 1% under a multidirectional uniaxial tensile strain of 0%–80%, indicating its effective strain decoupling capability. Finally, real-time surface temperature distribution detection was successfully achieved under a heat flux of 202 kW/m2 by integrating the sensor array on an active thermal protection flexible skin, demonstrating the potential application of morphing high-speed vehicles.
具有主动热保护系统的柔性外皮作为高速变形车辆必不可少的使能技术,引起了人们的广泛关注。温度传感器集成到柔性皮肤可以帮助调节和优化冷却剂的消耗。然而,在柔性蒙皮的多向变形下,通常很难获得应变不敏感的温度测量。因此,本文研究了一种基于六边形结构的多向应变不敏感可拉伸温度传感器(STS)。制作了传感器样机,测量范围为$200~^{circ}$ C,电阻温度系数(TCR)为0.30%/°C。该方法的滞后误差为0.83%,重复性误差为1.79%。在多向单轴拉伸应变为0% ~ 80%的情况下,传感器的电阻变化小于1%,表明其具有有效的应变解耦能力。最后,通过将传感器阵列集成到主动热防护柔性蒙皮上,成功实现了202 kW/m2热流通量下的实时表面温度分布检测,展示了变形高速车辆的潜在应用前景。
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引用次数: 0
Equivalent Broadband Optical Frequency Domain Reflectometry via Multiband Laser Injection and Signal Stitching for Distributed Fiber Sensing 基于多波段激光注入和信号拼接的分布式光纤传感等效宽带光频域反射
IF 5.9 2区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2026-01-12 DOI: 10.1109/TIM.2025.3648096
Shiyuan Zhao;Jiwen Cui;Zhanjun Wu
Optical frequency domain reflectometry (OFDR) distributed optical fiber sensing technology has become a critical technique for structural health monitoring due to its exceptional spatial sensing resolution. Current state-of-the-art OFDR sensing systems predominantly use external-cavity tunable lasers (ECTLs) as their light sources to detect the Rayleigh backscattering spectra (RBS) over wavelength ranges spanning several tens of nanometers. However, the significant challenges posed by ECTLs in terms of size, weight, power consumption, and cost (SWaP-C) have constrained the large-scale industrial deployment of OFDR sensing technology. This study introduces a novel multiband multiplexed OFDR distributed optical fiber sensing approach that replaces the conventional single-shot optical frequency modulation light injection detection strategy with time-division segmented spectral detection. Both theoretical analyses and experimental validations demonstrate that sensing capabilities equivalent to those of ECTLs can be achieved via this sequential spectral acquisition approach. To implement this methodology, the correlation of the RBS from a characteristic fiber segment (CFS) within the optical frequency overlap region of the main interferometer is used to determine the stitching positions of adjacent frequency band measurement signals, enabling precise picometer-level wavelength stitching. By adopting a commercial distributed feedback (DFB) laser array as the system’s light source and using segmented modulation with precision stitching, an RBS detection range of 35.013 nm is achieved, and has the potential for further expansion. Leveraging this architecture, an OFDR distributed optical fiber sensing system is developed, and it demonstrates an 8-mm spatial sensing resolution and a 10 000- $mu varepsilon $ measurement range. This innovative approach provides a new design paradigm for OFDR systems. The proposed OFDR distributed optical fiber sensing system demonstrates performance metrics comparable to those of conventional systems while offering significant advantages in terms of SWaP-C, holding significant promise for advancing the industrialization of this technology.
光频域反射(OFDR)分布式光纤传感技术以其优异的空间传感分辨率成为结构健康监测的关键技术。当前最先进的OFDR传感系统主要使用外腔可调谐激光器(ECTLs)作为光源来检测几十纳米波长范围内的瑞利后向散射光谱(RBS)。然而,ECTLs在尺寸、重量、功耗和成本(SWaP-C)方面带来的重大挑战限制了OFDR传感技术的大规模工业部署。本文提出了一种新的多频带复用OFDR分布式光纤传感方法,用分时分段光谱检测取代传统的单次光调频光注入检测策略。理论分析和实验验证都表明,通过这种顺序光谱采集方法可以实现与ECTLs相当的传感能力。为了实现该方法,利用主干涉仪光频率重叠区域内的特征光纤段(CFS)的RBS的相关性来确定相邻频段测量信号的拼接位置,从而实现精确的皮米级波长拼接。采用商用分布式反馈(DFB)激光阵列作为系统光源,采用精确拼接的分段调制,实现了35.013 nm的RBS检测范围,并具有进一步扩大的潜力。利用该架构,开发了OFDR分布式光纤传感系统,该系统具有8mm的空间传感分辨率和10000 - $mu varepsilon $的测量范围。这种创新的方法为OFDR系统提供了一种新的设计范式。所提出的OFDR分布式光纤传感系统的性能指标与传统系统相当,同时在SWaP-C方面具有显著优势,有望推进该技术的产业化。
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引用次数: 0
A Novel Real-Time Acetic Acid Concentration Detection System Based on Capacitive Micromachined Ultrasonic Transducers 一种基于电容式微机械超声换能器的醋酸浓度实时检测系统
IF 5.9 2区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2026-01-12 DOI: 10.1109/TIM.2025.3647998
Jiaqi Chen;Yunbin Huang;Jiali Sun;Zhihao Wang;Zhaodong Li;Xiangcheng Zeng;Licheng Jia;Changde He;Yuhua Yang;Jiangong Cui;Guojun Zhang;Wendong Zhang;Renxin Wang
This article presents a novel ultrasonic acetic acid concentration detection system based on capacitive micromachined ultrasonic transducers (CMUTs). The system utilizes CMUTs as the core sensing components to perform both signal transmission and reception. A temperature sensor is integrated to continuously monitor temperature variations in the test liquid, thereby ensuring measurement accuracy. Under the temperature compensation mechanism, the system continuously analyzes the acquired signals to accurately determine the ultrasonic time-of-flight (TOF) and propagation velocity in the liquid. A quantitative model correlating sound velocity with temperature and acetic acid concentration was established and experimentally validated, demonstrating excellent stability and high sensitivity. The system achieves a measurement accuracy of 0.35% and a resolution of 0.1%. Benefiting from the miniaturized design of CMUTs, the system can be developed into a compact probe, offering an efficient and convenient solution for real-time acetic acid concentration monitoring during vinegar production and distribution.
介绍了一种基于电容式微机械超声换能器的醋酸浓度超声检测系统。该系统利用cmut作为核心传感元件来完成信号的发送和接收。集成了温度传感器以连续监测测试液体中的温度变化,从而确保测量精度。在温度补偿机制下,系统对采集到的信号进行连续分析,准确确定超声波在液体中的飞行时间(TOF)和传播速度。建立了声速与温度、醋酸浓度关系的定量模型,并进行了实验验证,该模型稳定性好,灵敏度高。测量精度为0.35%,分辨率为0.1%。得益于cmut的小型化设计,该系统可以发展成一个紧凑的探针,为食醋生产和销售过程中的醋酸浓度实时监测提供了高效方便的解决方案。
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引用次数: 0
Precise Evaluation of Frequency Response Consistency Between Accelerometers by Exciting With Dual-Frequency Vibration 双频激励下加速度计频率响应一致性的精确评价
IF 5.9 2区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2026-01-05 DOI: 10.1109/TIM.2025.3650235
Yang Zhou;Zhe Pei;Li Yu;Wenjie Wu;Huafeng Liu;Jinquan Liu
Nano-g accelerometers are used in high-precision applications where frequency response consistency (FRC) across devices can outweigh individual calibration accuracy. In scenarios such as gravity gradient measurements on moving platforms, strong motion disturbances make this consistency assessment and compensation essential, yet challenging with conventional methods. This article proposes a method of precisely evaluating accelerometer FRC by introducing an auxiliary reference frequency in addition to the test frequency. Two accelerometers are excited side by side during the sweep test. Systematic analysis indicates that it can significantly suppress dominant common-mode errors, which result from the test apparatus, the monitoring instruments, the accelerometer under test, and their susceptibility to the environmental conditions in such an FRC test. Experimental results demonstrate that the proposed method yields substantially more precise evaluation of the FRC than individually testing every accelerometer. A compensation filter is accordingly designed to correct the inconsistency between two self-developed accelerometers, improving amplitude consistency to better than 10 ppm and phase consistency to better than $10~mu $ rad.
纳米加速度计用于高精度应用,其中设备之间的频率响应一致性(FRC)可能超过单个校准精度。在移动平台的重力梯度测量等场景中,强烈的运动干扰使得一致性评估和补偿必不可少,但传统方法具有挑战性。本文提出了一种通过在测试频率之外引入辅助参考频率来精确评估加速度计FRC的方法。在扫描试验中,两个加速度计被并排激发。系统分析表明,该方法能显著抑制FRC测试中由测试设备、监测仪器、被测加速度计及其对环境条件的敏感性引起的主要共模误差。实验结果表明,与单独测试每个加速度计相比,所提出的方法对FRC的评估要精确得多。因此,设计了补偿滤波器来纠正两个自行开发的加速度计之间的不一致性,将振幅一致性提高到优于10 ppm,相位一致性提高到优于$10~mu $ rad。
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引用次数: 0
Coupling-Free Magnetic Field Coils at Identical Surface Inside Magnetic Shielding Systems 磁屏蔽系统内相同表面的无耦合磁场线圈
IF 5.9 2区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2026-01-05 DOI: 10.1109/TIM.2025.3650245
Jixi Lu;Xiaoyan Gao;Shuying Wang;Yibo Qi;Nuozhou Xu;Xihui Ye;Lei Wang
In precision magnetic field measurement, the combination system of magnetic shielding devices and coils is essential to provide a stable and controllable magnetic field environment. However, close proximity between coils and shielding introduces severe coupling effects that degrade performance of the system. Self-shielded coil is conventionally used to reduce this effect, but its suppression effect is limited, and its nested configuration causes a large volume waste. To address the problem, we propose a novel design method for coupling-free magnetic field coil set, including main coils and shielded coils, at identical surface inside magnetic shielding systems, which can achieve ultrahigh coupling-resistance and uniformity with maximum space saving. Based on the Fourier-Bessel function and magnetic field boundary condition, analytical models for magnetic field of the designed coils set under free and ferromagnetic boundaries are established, respectively. Through comparative analysis, the additional term caused by the coupling effect is separated, which enables the complete suppression of the coupling effect at the source. In addition, the quantum-inspired genetic algorithm (QIGA) is employed to solve the complex problem with strong constraints of higher performance and identical surface configuration efficiently. Taking the most commonly used circular coils in the shielding cylinder as the optimization object, we carry out the optimization. Experimental results demonstrate that our optimized coils reduce coupling factor to 0.28%, and improve uniformity to the order of $10^{-4}$ without any volume loss. The method can also be extended to other types of coils and magnetic shielding configurations to improve the accuracy of magnetic field measurement.
在精密磁场测量中,磁屏蔽装置和线圈的组合系统是提供稳定可控磁场环境的必要条件。然而,线圈和屏蔽之间的接近引入了严重的耦合效应,降低了系统的性能。自屏蔽线圈通常用于减少这种影响,但其抑制效果有限,其嵌套配置导致大量的体积浪费。针对这一问题,提出了一种在磁屏蔽系统内同一表面设计无耦合磁场线圈组(包括主线圈和屏蔽线圈)的新方法,在最大程度上节省空间的同时实现了超高的耦合电阻和均匀性。基于傅里叶-贝塞尔函数和磁场边界条件,分别建立了设计线圈在自由边界和铁磁边界下的磁场解析模型。通过对比分析,分离了耦合效应引起的附加项,使得耦合效应在源头得到完全抑制。此外,采用量子启发遗传算法(QIGA)有效地解决了具有更高性能和相同表面构型的强约束的复杂问题。以屏蔽筒中最常用的圆形线圈为优化对象,进行优化。实验结果表明,优化后的线圈将耦合系数降低到0.28%,在没有任何体积损失的情况下,将均匀性提高到10^{-4}$量级。该方法也可以推广到其他类型的线圈和磁屏蔽配置,以提高磁场测量的精度。
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引用次数: 0
Reduced Harmonic Errors by Geometrically Modulating the Demagnetizing Fields in Wave-Type Anisotropic Magnetoresistance Angle Sensors 几何调制波型各向异性磁阻角传感器退磁场减小谐波误差
IF 5.9 2区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2026-01-02 DOI: 10.1109/TIM.2025.3650260
Qihang Xu;Jiaming Liu;Mengmeng Guan;Wei Su;Zhiguang Wang;Zhongqiang Hu;Ming Liu
Anisotropic magnetoresistance (AMR) angle sensors are widely utilized in industrial applications owing to their noncontact operation, cost efficiency, and miniaturization potential. However, harmonic distortion inherent in AMR measurements fundamentally limits angle encoder accuracy. This work introduces a high-precision AMR sensor employing a wave-type topology that suppresses harmonic errors through geometric innovation, demonstrating significant performance enhancements versus conventional strip-type sensors: 64.3% reduction in maximum angular error (0.50° versus 1.4°), 65.3% lower worst-case nonlinearity (0.2% versus 0.576%), and minimal change in repeatability (0.14° versus 0.137°). Systematic evaluation of dynamic responses under variable field angles through Stoner–Wohlfarth modeling and experimental validation exhibits excellent agreement, confirming curvature optimization effectively minimizes angular errors. Mechanistic analysis identifies demagnetizing fields and induced anisotropy as dominant error sources. Crucially, this architecture maintains fabrication simplicity, demonstrating exceptional cost-performance synergy for automotive, robotics, and industrial automation applications requiring sub-0.5° accuracy.
各向异性磁阻(AMR)角传感器因其非接触操作、低成本和小型化潜力而广泛应用于工业领域。然而,AMR测量中固有的谐波失真从根本上限制了角度编码器的精度。本研究介绍了一种高精度AMR传感器,该传感器采用波浪型拓扑结构,通过几何创新抑制谐波误差,与传统的带状传感器相比,性能有显著提高:最大角度误差降低64.3%(0.50°对1.4°),最坏情况非线性降低65.3%(0.2%对0.576%),可重复性变化最小(0.14°对0.137°)。通过Stoner-Wohlfarth模型和实验验证,系统评估了变视场角度下的动态响应,结果非常一致,证实曲率优化有效地减少了角度误差。机理分析表明退磁场和诱导各向异性是主要的误差来源。至关重要的是,该架构保持了制造的简单性,为需要0.5°以下精度的汽车,机器人和工业自动化应用展示了卓越的性价比协同作用。
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引用次数: 0
Real-Time Elimination of Harmonic Drift for Hemispherical Resonator Gyro Based on FRP Control Scheme 基于FRP控制方案的半球谐振陀螺谐波漂移实时消除
IF 5.9 2区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2026-01-02 DOI: 10.1109/TIM.2025.3650265
Hanshi Li;Weinan Xie;Qi Wang;Guoxing Yi;Changhong Wang
The performance of the hemispherical resonator gyro (HRG) in whole-angle (WA) mode is affected by the angle-dependent harmonic drift. Suppressing this drift is essential to improve its temperature stability and operational range. In this article, a novel real-time method for eliminating harmonic drift based on a forward and reverse precession (FRP) control scheme is proposed. First, the sources of harmonic drift in HRG are analyzed. The HRG dynamical equations incorporating multiple error sources are derived and analyzed through numerical simulation. Subsequently, a real-time error identification algorithm is developed and validated through simulation. Finally, a temperature experiment is conducted to validate the method. The experimental results demonstrate that the proposed method can accurately identify and compensate for errors at different temperatures, effectively suppressing the harmonic components in angular velocity by more than 97%. The bias instability (BI) of the HRG remains consistently around $0.024boldsymbol {^{circ }}$ /h across various temperatures, indicating strong temperature stability. Additionally, the scale-factor nonlinearity (SFN) is reduced fivefold to 0.84 ppm. Most importantly, this method can be applied to all Coriolis vibratory gyroscopes to effectively eliminate their common angle-dependent harmonic drift.
半球形谐振陀螺在全角(WA)模式下的性能受到角相关谐波漂移的影响。抑制这种漂移对于提高其温度稳定性和工作范围至关重要。本文提出了一种基于正逆进动(FRP)控制方案的实时消除谐波漂移的新方法。首先,分析了谐波漂移的来源。通过数值模拟,推导并分析了包含多个误差源的HRG动力学方程。随后,提出了一种实时误差识别算法,并通过仿真进行了验证。最后,通过温度实验验证了该方法的有效性。实验结果表明,该方法能准确识别和补偿不同温度下的误差,有效抑制角速度谐波分量达97%以上。在不同温度下,HRG的偏置不稳定性(BI)始终保持在$0.024boldsymbol {^{circ}}$ /h左右,显示出较强的温度稳定性。此外,尺度因子非线性(SFN)降低了五倍,达到0.84 ppm。最重要的是,该方法可以应用于所有的科里奥利振动陀螺仪,有效地消除了它们共同的角相关谐波漂移。
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引用次数: 0
Learning-Based High Dynamic Range Imaging for Time-of-Flight Cameras 基于学习的飞行时间相机高动态范围成像
IF 5.9 2区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2026-01-01 DOI: 10.1109/TIM.2025.3650246
Ingyo Jeong;Jiho Ryoo;Soohee Han
Time-of-flight (ToF) cameras provide cost-effective 3-D depth sensing but are constrained by limited dynamic range, hindering reliable performance in scenes with large variations in distance and reflectance. To overcome this limitation, this study proposes a deep learning-based high dynamic range (HDR) approach, DeepToF-HDR. The method combines two key neural networks: an exposure-time selection network (ESN) that dynamically adjusts scene-dependent exposure times, and a depth fusion network (DFN) that integrates multi-exposure-ToF measurements. A composite loss function with end-to-end joint training is employed to ensure stable and synergistic optimization of both networks. Under identical exposure-time configurations, experiments on a real multi-exposure ToF dataset show that DeepToF-HDR achieves a 54.1% reduction in the mean absolute error (MAE) of the depth compared with conventional baselines. Comparable accuracy is also achieved with less than half the number of captures and only 28% of the total exposure time, demonstrating superior accuracy and efficiency.
飞行时间(ToF)相机提供了具有成本效益的3d深度传感,但受限于有限的动态范围,阻碍了在距离和反射率变化较大的场景中可靠的性能。为了克服这一限制,本研究提出了一种基于深度学习的高动态范围(HDR)方法,即DeepToF-HDR。该方法结合了两个关键的神经网络:一个是曝光时间选择网络(ESN),它可以动态调整场景相关的曝光时间,另一个是深度融合网络(DFN),它集成了多曝光- tof测量。采用端到端联合训练的复合损失函数保证两个网络的稳定和协同优化。在相同曝光时间配置下,在一个真实的多曝光ToF数据集上进行的实验表明,DeepToF-HDR的深度平均绝对误差(MAE)比传统基线降低了54.1%。在不到一半的捕获次数和28%的总曝光时间下,也实现了相当的精度,展示了卓越的精度和效率。
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引用次数: 0
Ultrasonic Waveform Inversion and Nonlinear Synthetic Focusing Imaging in Multilayered Complex Structures 多层复杂结构超声波形反演及非线性合成聚焦成像
IF 5.9 2区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2026-01-01 DOI: 10.1109/TIM.2025.3650270
Tiantian Zhu;Zhenggan Zhou;Hafiz Ejaz Ahmad;Jingtao Yu;Wenbin Zhou
Multilayer complex structures are widely used in the energy and power industries. However, due to the combined effects of multiple media layers and complex curved surfaces, using phased array ultrasonic inspection to check their internal structures and defects is still extremely challenging. This article proposed a two-stage array ultrasonic method for the inspection of internal structures. In the first stage, a low-frequency full waveform inversion (FWI) was used to characterize the complicated internal structure, overcoming the challenge of a priori velocity estimation while improving computational efficiency by 75% compared to full-spectrum FWI. In the second stage, a nonlinear synthetic focusing imaging method was utilized to achieve high-resolution imaging of internal defects. To further reduce the computation time for beam path estimation, an Eikonal equation-based method was introduced. The proposed method improves computational efficiency by approximately 96.85% and 93.93% compared to the traditional binary search and Fermat’s principle-based shortest path algorithms, respectively. Experimental results demonstrated that the proposed method can effectively detect internal defects within multilayer complex structures. Compared with the conventional array ultrasonic full focusing method, the global contrast index ( $C_{G}$ ) value increased by 2.87 times, while the array performance indicator (API) value decreased by 88.73%.
多层复合结构在能源和电力工业中有着广泛的应用。然而,由于多介质层和复杂曲面的综合作用,使用相控阵超声检测其内部结构和缺陷仍然是极具挑战性的。本文提出了一种用于内部结构检测的两级阵列超声检测方法。在第一阶段,使用低频全波形反演(FWI)来表征复杂的内部结构,克服了先验速度估计的挑战,同时与全谱FWI相比,计算效率提高了75%。第二阶段,采用非线性合成聚焦成像方法实现内部缺陷的高分辨率成像。为了进一步减少光束路径估计的计算时间,引入了一种基于Eikonal方程的方法。与传统的二分搜索算法和基于费马原理的最短路径算法相比,该方法的计算效率分别提高了约96.85%和93.93%。实验结果表明,该方法可以有效地检测多层复杂结构的内部缺陷。与传统的阵列超声全聚焦方法相比,整体对比度指数($C_{G}$)值提高了2.87倍,阵列性能指标(API)值下降了88.73%。
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引用次数: 0
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IEEE Transactions on Instrumentation and Measurement
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