Xiang Li;Liyin Yuan;Chunlai Li;Xinze Liu;Bingmei Guo;Jiawei Lu;Shijie Liu;Zhiping He
{"title":"Aperture-Coded Long-Wave Infrared Hyperspectral Imager With Noncryogenic Optomechanical System","authors":"Xiang Li;Liyin Yuan;Chunlai Li;Xinze Liu;Bingmei Guo;Jiawei Lu;Shijie Liu;Zhiping He","doi":"10.1109/TIM.2025.3580881","DOIUrl":"https://doi.org/10.1109/TIM.2025.3580881","url":null,"abstract":"The long-wave infrared (LWIR) hyperspectral imagers (HSIs) typically necessitate deep cooling of their optomechanical systems to reduce instrument background signal, thereby preventing extremely weak target signal from being drowned out by the background signal. This treatment entails the design and implementation of refrigeration systems and cryogenic optical systems, posing significant demands on the weight and power consumption resources of the working platform. Here, we present the design of an LWIR HSI based on aperture coding which features a spatial resolution of <inline-formula> <tex-math>$221times 256$ </tex-math></inline-formula> pixels and 100 spectral channels in 8–<inline-formula> <tex-math>$12.5~mu $ </tex-math></inline-formula>m band. Compared with the traditional single-slit scanning HSI, our HSI acquires approximately 50 times more enhanced target radiation at the focal plane in the case of the same spectral channel number, which enables our HSI to acquire LWIR hyperspectral measurements of a scene without deep cooling of the optomechanical system. Last, we show the imaging results for both indoor targets and outdoor targets, demonstrating the ability of our HSI to acquire both geometric and spectral information in the scene. We use spectral angle mapper (SAM) and noise equivalent temperature difference (NETD) to quantitatively evaluate the performance of our HSI. Our experimental results reveal the average spectral similarity of 94.2% and the NETD of approximately 0.3 K@300 K in the 8.5–<inline-formula> <tex-math>$11~mu $ </tex-math></inline-formula>m spectral band, with the optomechanical system maintained at room temperature.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"74 ","pages":"1-9"},"PeriodicalIF":5.6,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144519407","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Wenqiang Yue;Yunhao Fu;Xiaolong Hu;Min Tao;Peng Wang;Lei Liang;Baisong Chen;Junfeng Song;Lijun Wang
{"title":"Extrinsic Parameter Calibration for Camera and Optical Phased Array LiDAR","authors":"Wenqiang Yue;Yunhao Fu;Xiaolong Hu;Min Tao;Peng Wang;Lei Liang;Baisong Chen;Junfeng Song;Lijun Wang","doi":"10.1109/TIM.2025.3580845","DOIUrl":"https://doi.org/10.1109/TIM.2025.3580845","url":null,"abstract":"In autonomous driving, the fusion of camera and light detection and ranging (LiDAR) data is critical for accurate environmental perception, with high-precision extrinsic calibration playing a pivotal role. Optical phased array (OPA) LiDAR, due to its advantages in solid-state scanning, coherent detection, immunity to mechanical fatigue and external interference, and eye safety, represents a promising direction in next-generation LiDAR technology. Conventional LiDAR-camera calibration approaches generally rely on spatial or reflectivity-based point cloud features to infer shared correspondences, followed by nonlinear optimization. However, three key challenges remain: 1) the absence of publicly available datasets for the emerging OPA LiDAR; 2) inaccuracies from sparse point clouds, foreground inflation, and bleeding points affecting feature correspondence; and 3) reliance on complex calibration targets and computationally intensive processes, reducing robustness and efficiency. To overcome these limitations, we propose, for the first time, four joint calibration methods specifically designed for OPA LiDAR. These methods utilize OPA’s directional scanning to treat each scan point as a reliable 3-D feature that can be directly matched to corresponding 2-D image features, enabling efficient global nonlinear optimization. Experimental validation demonstrates that our methods achieve higher calibration accuracy and significantly reduced computational time compared to existing state-of-the-art techniques. This offers a robust and efficient solution for future multisensor fusion systems centered around OPA LiDAR.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"74 ","pages":"1-15"},"PeriodicalIF":5.6,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144492290","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"RT-DETR-LGP: An Effective Defect Detection Method for Light Guide Plates via Multiscale Feature Fusion and Knowledge Distillation","authors":"Cunling Liu;Shuo Peng;Shuangning Liu;Junfeng Li","doi":"10.1109/TIM.2025.3580822","DOIUrl":"https://doi.org/10.1109/TIM.2025.3580822","url":null,"abstract":"In the field of light guide plate (LGP) quality inspection in industrial production, traditional object detection models often face various challenges, such as difficulties in extracting features of small defects, low accuracy in multiscale defect detection, and interference from complex backgrounds. To effectively address these problems, this study focuses on exploring advanced object detection technologies and proposes the RT-DETR-LGP model. This model adopts the newly designed multiscale edge information enhancement (MSEIE) module and aggregate diffusion pyramid network (ADPN) module and uses a multiscale feature fusion strategy to achieve efficient detection of defects of different sizes. In addition, this study uniquely combines the model with channel-wise knowledge distillation (CWKD) technology to improve the model’s detection accuracy and generalization ability without increasing the number of model parameters. To comprehensively evaluate the performance of the RT-DETR-LGP model, 10831 LGP defect samples were carefully collected from industrial sites and used to create the industrial LGP defect dataset (ILGPDD) containing seven different types of defects. After integrating the knowledge distillation technology, the RT-DETR-LGP model demonstrated outstanding performance in all key indicators. The <inline-formula> <tex-math>$text {AP},text {AP}_{50}$ </tex-math></inline-formula>, and <inline-formula> <tex-math>${text {AP}}_{75}$ </tex-math></inline-formula> reached 70.3%, 98.0%, and 83.5% respectively, representing improvements of 2.5%, 1.5%, and 2.8% compared to the RT-DETR baseline network. Moreover, the model’s FPS reached 176, indicating its ability to achieve rapid LGP defect detection. These results indicate the great potential of the RT-DETR-LGP model in detecting surface defects of LGPs, providing an efficient and reliable solution for LGP quality inspection in industrial production.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"74 ","pages":"1-18"},"PeriodicalIF":5.6,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144501916","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Muscle Deformation Sensing for Swimming Mode Identification and Continuous Phase Estimation With Two-Stage Network","authors":"Yuchao Liu;Jiajie Guo;Chuxuan Guo;Zijie Liu;Yiran Tong;Xuan Wu;Qining Wang;Caihua Xiong","doi":"10.1109/TIM.2025.3580898","DOIUrl":"https://doi.org/10.1109/TIM.2025.3580898","url":null,"abstract":"Accurate recognition of human motion modes and continuous phases is crucial to exoskeleton control to provide proper assistance. However, harsh underwater environments severely restrict the study on swimming motion monitoring, where existing studies either focus on a single swimming mode or discrete phases, limiting underwater exoskeleton control. To address this limitation, this article develops a two-stage network (TSN) consisting of one mode classifier (first stage) and four phase regressors (second stage), where muscle deformation features are used instead of traditional joint kinematics. Swimming tests are conducted on nine subjects with four modes at three frequencies. The effectiveness of the proposed method is justified by mode identification accuracy of 99.72% and phase estimation error of 3.92%, where the error is 52.89% smaller than that in the traditional time-based estimation (TBE) method. This article is the first to simultaneously recognize the swimming mode and the continuous phase, which is valuable to adapt the smooth exoskeleton assistance to harsh underwater environment and multimodal motion scenarios.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"74 ","pages":"1-14"},"PeriodicalIF":5.6,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144502867","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jie Yuan;Kundong Wang;Huaming Lei;Run Zheng;Xin Chen
{"title":"Temperature-Enhanced Type Compensation Method for Large-Range Eddy Current Displacement Sensors","authors":"Jie Yuan;Kundong Wang;Huaming Lei;Run Zheng;Xin Chen","doi":"10.1109/TIM.2025.3580897","DOIUrl":"https://doi.org/10.1109/TIM.2025.3580897","url":null,"abstract":"The eddy current displacement sensors (ECDSs) are widely used in precision industrial applications, but they are susceptible to temperature drift under varying temperature conditions, which limits their measurement accuracy. This study proposes a novel temperature compensation method aimed at improving the performance of (ECDS) across a broad temperature range. This method utilizes phase characteristics and dual ac bridge technology to effectively separate the temperature drift of the probe coil from the target displacement changes. In this way, the temperature stability of large-range ECDS is significantly enhanced, and drift caused by temperature changes in the probe coil is further eliminated through temperature calibration. Laboratory tests have shown that this method effectively reduces temperature-related displacement drift from 2093 to 132 ppm/°C within a temperature range of <inline-formula> <tex-math>$20~^{circ }$ </tex-math></inline-formula>C–<inline-formula> <tex-math>$100~^{circ }$ </tex-math></inline-formula>C. The results indicate that the proposed method significantly improves the measurement accuracy and reliability of ECDS in large temperature difference environments, providing important technical support for the precision measurement field.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"74 ","pages":"1-9"},"PeriodicalIF":5.6,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144501029","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Linear Magnetooptic Current Sensor Based on S-Waveplate","authors":"Yifan Huang;Jinhua Li;Qifeng Xu;Qiao Tan","doi":"10.1109/TIM.2025.3580854","DOIUrl":"https://doi.org/10.1109/TIM.2025.3580854","url":null,"abstract":"A novel magnetooptic current sensor (MOCS) based on the S-waveplate is proposed, which enables the linear demodulation of the Faraday rotation angle, thereby addressing issues of nonlinear demodulation and optical power dependency. The S-waveplate MOCS converts the Faraday rotation angle into the displacement of bright and dark interference fringe spots, and the displacement is then determined to directly measure the Faraday rotation angle. The S-waveplate is a continuous device that can achieve 100% polarization conversion, and a high-resolution image acquisition is designed to precisely locate the spot, so the S-waveplate MOCS shows a high current sensitivity. The experimental results demonstrate that the proposed MOCS achieves a 0.2 class accuracy with the current sensitivity of 0.093 A/px and exhibits strong robustness and reliability in the temperature test.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"74 ","pages":"1-9"},"PeriodicalIF":5.6,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144492287","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Design Method of a Novel Helmet-Shaped Wearable Self-Shielding Coil","authors":"Yi Liu;Xueping Xu;Chunbo Han","doi":"10.1109/TIM.2025.3580870","DOIUrl":"https://doi.org/10.1109/TIM.2025.3580870","url":null,"abstract":"To satisfy the development of portable and miniaturized extremely weak magnetic measuring devices, a novel helmet-shaped wearable self-shielding coil (HWSC) design method is proposed in this article. An analytical calculation model of HWSC is established by the boundary element method (BEM), which achieves the optimum design of self-shielding coils with a high homogeneous magnetic field (MF). Weighting coefficients are introduced to precisely control the selection of target field points. The calculated maximum MF deviation inside the HWSC and maximum MF attenuation deviation outside are 2.28% and 16.08%, respectively, which reduces the external MF attenuation by 69.15% compared with the coil without considering coupling. The experimental results show that the maximum internal deviation and external attenuation deviation of HWSC are 2.86% and 17.84%, respectively. This approach provides new ideas for the optimal design of internal coils in the development of magnetically shielded devices toward miniaturization and portability.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"74 ","pages":"1-9"},"PeriodicalIF":5.6,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144502879","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Eddy Current Detection of Broken Steel Wires in the Core of the Conveyor Belt Based on CutMix-ReliefF-RF","authors":"Junxia Li;Jianke Gao;Shaoni Jiao;Ziming Kou;Wei Zhang;Yanfei Kou","doi":"10.1109/TIM.2025.3580872","DOIUrl":"https://doi.org/10.1109/TIM.2025.3580872","url":null,"abstract":"Broken steel wires in the core of the conveyor belt significantly reduce its carrying capacity and overall strength, potentially leading to safety hazards. The eddy current testing (ECT) has significant advantages in terms of cost and portability over other nondestructive testing technologies such as ultrasonic testing (UT) and X-ray. ECT detects changes in the magnetic field, enabling the detection of the broken steel wires. However, the detection of broken wire ropes in conveyor belts has difficulty in obtaining data under actual working conditions, insufficient data diversity, low recognition accuracy, and poor model generalization ability. This article designs a differential probe and introduces a novel approach, the CutMix-ReliefF-RF method, which addresses these challenges based on the differential signal. By applying CutMix, we enhance the diversity of small sample data and construct varied datasets representing different numbers of broken wires, which significantly improves the model’s recognition ability and generalization performance. The fault features of the broken steel wires in the core of the conveyor belt are extracted, and then the ReliefF method is used for dimensionality reduction to obtain an optimal feature subset. The random forest (RF) algorithm is adopted to identify the broken core characteristics from the eddy current (EC) detection signal. The accuracy of the finite element model (FEM) is validated through experimental and simulation signals used to generate training samples. The proposed method can accurately identify broken steel wires in the core of the conveyor belt, achieving a fault diagnosis accuracy of 98.23% under simulation signals and 96.67% under experimental signals, respectively. This provides strong support for the health monitoring of broken steel wires in the core of the conveyor belt.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"74 ","pages":"1-13"},"PeriodicalIF":5.6,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144502881","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nan Peng;Weixing Zhang;Mingxuan Du;Rui Liang;Zhuang Xie;Peng Zhang;Wei Wang
{"title":"Fault Distance Estimation of Coal-Mine Pulling Cables by Steady-State Electrical Measurements","authors":"Nan Peng;Weixing Zhang;Mingxuan Du;Rui Liang;Zhuang Xie;Peng Zhang;Wei Wang","doi":"10.1109/TIM.2025.3580875","DOIUrl":"https://doi.org/10.1109/TIM.2025.3580875","url":null,"abstract":"The pulling cables employed in coal mines serve as power supply lines for electromechanical equipment. However, due to complex electromagnetic couplings among multiple conductors, it is difficult to locate faults in coal-mine pulling cables (CMPCs) based on existing circuit models and methods for ordinary ones. In this article, a fault distance estimation method is proposed for CMPCs. Aiming at multiconductor structure and parameters, the lump-parameter equivalent circuit models for analyzing electric quantities along the CMPC in both normal and fault conditions are constructed considering electromagnetic couplings among multiple conductors. The steady-state voltage and current at the fault point are then derived to create fault distance and resistance estimation functions. Finally, the experimental model of CMPCs is established by RTDS. Experimental results demonstrate that the voltage and current computational errors based on the constructed model do not exceed 0.5 V and 0.5 A, respectively. The maximum fault distance estimation error is lower than 13 m with various fault conditions, measurement errors, and noise interferences.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"74 ","pages":"1-15"},"PeriodicalIF":5.6,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144519290","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Performance Characterization and Application Assessment for a Type of 3-D-Printed Microneedle Array Electrodes Toward High-Quality Electrophysiological Recording","authors":"Shanyong Huang;Jianyu Fu;Debin Xu;Jianglang Cao;Guanglin Li;Peng Fang","doi":"10.1109/TIM.2025.3578716","DOIUrl":"https://doi.org/10.1109/TIM.2025.3578716","url":null,"abstract":"The electrophysiological signals are inherently characterized by low signal strength, instability, and low signal-to-noise ratio (SNR). The signal quality is usually determined by the electrode–skin interface impedance (EII) and stability of contact interface, where signals may deteriorate due to a change in EII over time by dehydration of conductive gel used in conventional wet electrodes. As a novel type of dry electrode, microneedle array electrodes (MAEs) can penetrate through the stratum corneum and contact the viable epidermis without a touch to the dermis, reducing the EII and forming a stable human-machine interface for signal recording. Various MAEs have been realized by different fabrication methods; however, the performance characterization of MAEs is still insufficient to support and facilitate their applications. In this study, we investigated a type of 3-D-printed MAEs toward high-quality electrophysiological recording. The temporal EII stability of MAEs was investigated by a comparison with the commercially available wet electrodes, which demonstrated the superior performance of MAEs in long-term use. An optimized electrical model for MAEs was proposed, with the RCL connection replacing the normally used RC connection, which showed that the RCL model could achieve a better fitting of EII characteristics for MAEs. Application assessment was fulfilled by recording both electromyography (EMG) and electrocardiography (ECG), which proved the excellent behavior of MAEs in signal recording. In all experiments, no skin allergy, inflammation, or other injury was observed by MAE application. In general, this work may demonstrate a stable and reliable approach for high-quality electrophysiological recording with a strong application potential.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"74 ","pages":"1-10"},"PeriodicalIF":5.6,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144314874","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}