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Low-Cost Mechanical Sonar Mapping With Artifact Removal in Confined Spaces 低成本机械声纳映射与在有限空间的伪影去除
IF 5.9 2区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2026-01-12 DOI: 10.1109/TIM.2026.3652719
Yuanju Cao;Caoyang Yu;Xianbo Xiang;Lian Lian
Exploration of confined underwater environments—such as polar subice regions, submerged caves, shipwreck interiors, flooded water-conveyance tunnels, and enclosed test tanks—has garnered increasing research interest. Conventional sensing modalities, including optical imaging, passive acoustics, and tethered active sonar systems, encounter substantial limitations in such settings. Low-cost mechanically scanning imaging sonar (MSIS) systems offer a promising alternative. However, MSIS measurements are severely affected by multipath artifacts inherent to acoustic propagation in enclosed spaces, which obscure true structural boundaries and pose significant challenges to robust underwater perception. To address these challenges, a complete MSIS-based mapping framework is developed for confined environments. By reconstructing physically interpretable angle-range representations from discrete time-domain echo signals extracted directly from the MSIS serial stream, we propose two boundary extraction strategies: an adaptive thresholding-based method and a lightweight deep segmentation network termed MSIS-Net. To eliminate multipath artifacts and recover true structural contours, a novel graph-based acoustic front extraction (GAFE) algorithm is developed, leveraging acoustic propagation priors for directionally guided path tracing. Experimental validation is conducted in real-world tank environments of varying scale, demonstrating the robustness and decimeter-level accuracy of the proposed framework. In support of further research, we release the confined-MSIS dataset, the first open-access dataset tailored to confined-space acoustic mapping using MSIS.
对受限水下环境的探索,如极地水下区域、水下洞穴、沉船内部、淹没的输水隧道和封闭的试验水箱,已经引起了越来越多的研究兴趣。传统的传感方式,包括光学成像、被动声学和系绳主动声纳系统,在这种情况下会遇到很大的限制。低成本的机械扫描成像声纳(MSIS)系统提供了一个很有前途的选择。然而,MSIS测量受到封闭空间中声传播固有的多径伪影的严重影响,这些伪影模糊了真实的结构边界,对强大的水下感知构成了重大挑战。为了应对这些挑战,为受限环境开发了一个完整的基于msis的制图框架。通过从直接从MSIS序列流中提取的离散时域回波信号中重建物理可解释的角度范围表示,我们提出了两种边界提取策略:一种基于自适应阈值的方法和一种称为MSIS- net的轻量级深度分割网络。为了消除多路径伪影并恢复真实的结构轮廓,开发了一种新的基于图的声前提取(GAFE)算法,利用声传播先验进行定向引导路径跟踪。在不同规模的真实坦克环境中进行了实验验证,证明了所提出框架的鲁棒性和分米级精度。为了支持进一步的研究,我们发布了限制性MSIS数据集,这是第一个针对使用MSIS进行限制性空间声学测绘的开放获取数据集。
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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
A Noncontact 3-Degree-of-Freedom Displacement Sensor With Nanoscale Resolution 具有纳米级分辨率的非接触式三自由度位移传感器
IF 5.9 2区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2026-01-01 DOI: 10.1109/TIM.2025.3650281
Shuyu Zhu;Rongjie Li;Tao Xu;Zilong Feng;Lizhuang Yan;Zhihua Feng
This study proposes a novel differential eddy current inductive displacement sensor (ECIS) that achieves synchronous three-axis (XYZ) displacement measurement, overcoming the limitations of traditional single-axis detection. The sensor incorporates a spiral excitation coil, an aluminum target, and differential receiving coils bonded to the target surface. A hybrid-domain optimization framework combining theoretical modeling and finite-element analysis (FEA) was developed to address the challenges of multiphysics coupling in proximity to conductive targets. The coil geometry was systematically optimized through numerical calculations to maximize sensitivity while suppressing cross-axis interference. Experimental validation demonstrated a displacement range of $pm 1500~mu $ m in the $x$ - and $y$ -axes and $pm 130~mu $ m in the $z$ -axis, achieving quasistatic resolutions of 10, 13, and 0.45 nm, respectively. The cross-sensitivity between axes was maintained below ±0.5%. The sensor’s thermal stability was enhanced through Zerodur glass probe structures and differential topology, yielding a temperature drift coefficient of 162 ppm/°C. These results validate the proposed optimization methodology and highlight the sensor’s potential for ultraprecision metrology.
本文提出了一种新型的差分涡流感应位移传感器(ECIS),克服了传统单轴检测的局限性,实现了同步三轴(XYZ)位移测量。该传感器包括一个螺旋激励线圈,一个铝靶,和差分接收线圈粘合到目标表面。针对导电目标附近的多物理场耦合问题,提出了一种结合理论建模和有限元分析的混合域优化框架。通过数值计算系统地优化了线圈的几何形状,以最大限度地提高灵敏度,同时抑制交叉轴干扰。实验验证表明,在x轴和y轴上的位移范围为$pm 1500~mu $ m,在z轴上的位移范围为$pm 130~mu $ m,分别实现了10、13和0.45 nm的准静态分辨率。轴间交叉灵敏度保持在±0.5%以下。该传感器的热稳定性通过Zerodur玻璃探头结构和差分拓扑结构得到增强,温度漂移系数为162 ppm/°C。这些结果验证了所提出的优化方法,并突出了传感器在超精密计量中的潜力。
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引用次数: 0
A Study of 3-D Magnetic Field Regulation Method With Dynamically Variable Multichannel Orthogonal Array Coils 动态可变多通道正交阵列线圈三维磁场调节方法研究
IF 5.9 2区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2026-01-01 DOI: 10.1109/TIM.2025.3650290
Yi Liu;Xueping Xu;Chunbo Han
To solve the problems of the traditional magnetic shielding cylinders compensation coil system, such as complex structure, large volume, and insufficient flexibility of magnetic field (MF) adjustment, this study proposes a design method of $d$ single-layer dynamically variable multichannel orthogonal array coils (DVM-OACs) in a spindle-shaped magnetic shielding cylinder (sMSC). It uses an array of orthogonal crossed wires on a single-layer curved grid (R- and A-directions). Through multichannel independent control and dynamic current regulation, the DVM-OAC achieves precise generation and real-time compensation of three-axis (x, y, and z) uniform MF. Compared with the traditional structure of three independent Helmholtz coils stacked on top of each other, the DVM-OAC integrates the three-axis function in a single physical space, which reduces the volume by about 21.46%. The percentage of the space where the uniformity of the DVM-OAC is less than 3% reaches 3.98%, which is much larger than that of the three-axis Helmholtz coils, which is 0.82%. Experiments indicate that DVM-OAC can ensure high triaxial MF uniformity in the center region of sMSC, which is consistent with the theoretical results. This technology provides a new idea for high-precision magnetic environment regulation, which is especially suitable for wearable devices, implantable medical devices, and other scenarios with stringent requirements for lightweighting and flexibility.
针对传统磁屏蔽圆柱补偿线圈系统结构复杂、体积大、磁场调节灵活性不足等问题,提出了一种轴形磁屏蔽圆柱(sMSC)单层动态可变多通道正交阵列线圈(dvm - oac)的设计方法。它在单层曲面网格(R方向和a方向)上使用一组正交交叉导线。通过多通道独立控制和动态电流调节,DVM-OAC实现了三轴(x、y、z)均匀中频的精确生成和实时补偿。与传统的三个独立亥姆霍兹线圈相互叠加的结构相比,DVM-OAC将三轴功能集成在单个物理空间中,体积减小约21.46%。DVM-OAC均匀度小于3%的空间占比达到3.98%,远远大于三轴亥姆霍兹线圈的0.82%。实验表明,DVM-OAC可以保证sMSC中心区域高三轴均匀性,与理论结果一致。该技术为高精度磁环境调节提供了新思路,特别适用于可穿戴设备、植入式医疗设备等对轻量化、柔性化要求严格的场景。
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引用次数: 0
Corrosion Detection of Gearbox Based on Wavelet Time–Frequency Attention Fusion Network 基于小波时频注意融合网络的齿轮箱腐蚀检测
IF 5.9 2区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-12-30 DOI: 10.1109/TIM.2025.3644553
Tianyu Gao;Yongjiang Li;Jingli Yang;Yongqi Chang;Xiaopeng Fan;Meiyan Zhang
Marine gearboxes operating long-term in high-temperature, high-humidity, and high-salinity mist marine environments are highly susceptible to corrosion faults, posing significant threats to the reliability and safety of shipboard equipment. Ultrasonic testing (UT) technology, with its noncontact and remote capabilities, is well-suited for inspecting complex workpieces in such adverse conditions. To address the limitations of existing quantitative corrosion detection methods for gearboxes, while fully leveraging the nondestructiveness and information integrity advantages of ultrasonic nondestructive testing technology, this article proposes the wavelet time–frequency attention fusion network (WAFN), an ultrasonic signal-based method for gearbox corrosion detection. The method first constructs an optimized four-channel parallel ConvNeXt network (multichannel time–frequency feature extraction (MCFE) module) for deep feature extraction. Subsequently, a Transformer encoder module is introduced to fuse global features and capture cross-channel spatial dependencies. Then, a symmetric multichannel cross-attention feature fusion (CAFF) module realizes adaptive weighted fusion of local and global features. Finally, a supervised collaborative contrast loss (SCCL) training mechanism is designed, combining feature loss and classification loss to pull features of the same corrosion level closer while pushing features of different levels apart. This effectively mitigates interference from intraclass variations and blurred interclass feature boundaries inherent in quantitative data, achieving quantitative nondestructive detection of gearbox corrosion. Experimental results show that the proposed model achieves higher comprehensive accuracy on the two datasets and in the supplementary experiments with actual plates, verifying the effectiveness of this method.
船用齿轮箱长期在高温、高湿、高盐度雾状海洋环境中工作,极易发生腐蚀故障,对船用设备的可靠性和安全性构成重大威胁。超声检测(UT)技术具有非接触和远程检测的特点,非常适合在这种恶劣条件下检测复杂工件。针对现有齿轮箱腐蚀定量检测方法的局限性,在充分发挥超声无损检测技术无损性和信息完整性优势的同时,提出了一种基于超声信号的齿轮箱腐蚀检测方法——小波时频注意融合网络(WAFN)。该方法首先构建优化的四通道并行ConvNeXt网络(多通道时频特征提取(MCFE)模块)进行深度特征提取;随后,引入变压器编码器模块来融合全局特征并捕获跨通道空间依赖关系。然后,采用对称多通道交叉注意特征融合(CAFF)模块实现局部特征和全局特征的自适应加权融合。最后,设计了一种监督协同对比损失(SCCL)训练机制,将特征损失与分类损失相结合,将同一腐蚀等级的特征拉得更近,将不同腐蚀等级的特征推得更远。这有效地减轻了类内变化的干扰,模糊了定量数据中固有的类间特征边界,实现了齿轮箱腐蚀的定量无损检测。实验结果表明,该模型在两个数据集上以及在实际板的补充实验中都取得了较高的综合精度,验证了该方法的有效性。
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引用次数: 0
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IEEE Transactions on Instrumentation and Measurement
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