IEEE Transactions on Instrumentation and Measurement最新文献_第5页

Physics-Informed Inverse Measurement of Equivalent Damping and Stiffness in GIS Vibration Systems: A High-Frequency Multiscale Neural Network With Geometry-Aware Modeling and Sparse Sensing 地理信息系统振动系统中等效阻尼和刚度的物理信息反演：具有几何感知建模和稀疏感知的高频多尺度神经网络

IF 7 2区工程技术

IEEE Transactions on Instrumentation and Measurement Pub Date : 2026-01-01 Epub Date: 2026-02-09 DOI: 10.1109/TIM.2026.3662914

Yuhang Li;Yadong Liu;Yingjie Yan;Dewei Ding;Jin Bai;Xu Hua;Xiuchen Jiang

{"title":"Physics-Informed Inverse Measurement of Equivalent Damping and Stiffness in GIS Vibration Systems: A High-Frequency Multiscale Neural Network With Geometry-Aware Modeling and Sparse Sensing","authors":"Yuhang Li;Yadong Liu;Yingjie Yan;Dewei Ding;Jin Bai;Xu Hua;Xiuchen Jiang","doi":"10.1109/TIM.2026.3662914","DOIUrl":"https://doi.org/10.1109/TIM.2026.3662914","url":null,"abstract":"The accurate measurement of internal mechanical parameters in gas-insulated switchgear (GIS) is essential for vibration modeling and transparent condition monitoring. Equivalent damping and stiffness are fundamental measurands that govern attenuation and resonance; however, in practical operation, they are difficult to obtain through direct experimental measurement, which poses a major challenge for online monitoring. This article proposes a physics-informed inverse measurement framework that estimates these parameters from sparse surface vibration signals. A high-frequency multiscale neural network is constructed to mitigate spectral bias and capture both low- and high-frequency dynamics, while geometry-aware modeling based on signed distance functions (SDFs) enforces boundary conformity in complex GIS structures. The training objective combines PDE-consistent residuals with boundary/initial constraints, ensuring the physical consistency without reliance on dense instrumentation. Validation on a GIS vibration platform with a 12-point accelerometer array and multiple excitation layouts shows a mean relative error of 3.97%, outperforming a baseline PINN (5.96%) and an SIREN (6.59%), and maintaining accuracy under 5% Gaussian noise (5.64%). The results indicate that the method operates as a virtual sensor for inverse measurement under sparse sensing, providing a traceable and robust metrological pathway for high-frequency vibration-based monitoring of high-voltage equipment.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"75 ","pages":"1-17"},"PeriodicalIF":7.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148504383","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}

引用次数: 0

Error Analysis and Mitigation Strategies for Magnetic Flux Measurement in ELCID Test of Stator Core 定子铁心ELCID试验磁通测量误差分析及减小策略

IF 7 2区工程技术

IEEE Transactions on Instrumentation and Measurement Pub Date : 2026-01-01 Epub Date: 2026-06-22 DOI: 10.1109/TIM.2026.3706198

Jiantao Wang;Zhidong Jia;Gengbin Hu;Dayong Zheng;Zhiqiang Fang;Pinjia Zhang

{"title":"Error Analysis and Mitigation Strategies for Magnetic Flux Measurement in ELCID Test of Stator Core","authors":"Jiantao Wang;Zhidong Jia;Gengbin Hu;Dayong Zheng;Zhiqiang Fang;Pinjia Zhang","doi":"10.1109/TIM.2026.3706198","DOIUrl":"https://doi.org/10.1109/TIM.2026.3706198","url":null,"abstract":"The electromagnetic core imperfection detector (ELCID) test is a benchmark diagnostic tool for identifying interlaminar insulation defects in generator stator cores. Given the stringent acceptance threshold of 100 mA, maintaining high measurement precision is paramount for reliable fault diagnosis. However, two critical error sources are frequently overlooked: the inherent measurement errors of integrated cables and the random measurement errors of surplus cables. Such errors may lead to erroneous diagnostic conclusions or the oversight of critical defects, potentially resulting in catastrophic generator damage. In this article, equivalent circuit models are developed to quantitatively characterize these errors and determine the governing parameters. Subsequently, three novel mitigation strategies are proposed: an independent trace winding configuration method and an excitation voltage compensation method for the inherent measurement errors, and a counter-winding cancellation technique for surplus cables for the random measurement errors. The theoretical framework and the efficacy of the proposed methods are rigorously validated through finite element analysis and experimental investigations on a prototype model. Results demonstrate that the proposed techniques effectively reduce the measurement error from nearly 10 % to less than 2 %, significantly enhancing the accuracy and reliability of ELCID testing.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"75 ","pages":"3517912-3517912"},"PeriodicalIF":7.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148506262","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}

引用次数: 0

Dynamic Optimization Framework for Intelligent Maintenance of Offshore Wind Turbines With Competing Failure Modes 具有竞争失效模式的海上风力机智能维护动态优化框架

IF 7 2区工程技术

IEEE Transactions on Instrumentation and Measurement Pub Date : 2026-01-01 Epub Date: 2026-04-03 DOI: 10.1109/TIM.2026.3680194

Qingwei Li;Guolian Hou;Congzhi Huang;Ting Huang

{"title":"Dynamic Optimization Framework for Intelligent Maintenance of Offshore Wind Turbines With Competing Failure Modes","authors":"Qingwei Li;Guolian Hou;Congzhi Huang;Ting Huang","doi":"10.1109/TIM.2026.3680194","DOIUrl":"https://doi.org/10.1109/TIM.2026.3680194","url":null,"abstract":"Operation and maintenance (O&M) costs account for a substantial share of offshore wind expenditures. However, maintenance optimization models for offshore wind turbines (OWTs) typically rely on idealized states, neglecting stochastic environmental shocks and spatiotemporal dependencies. To bridge this gap, a dynamic optimization framework for intelligent maintenance of OWTs with competing failure modes is proposed. The objective of optimal scheduling is to maximize wind energy profit and reduce maintenance costs. This problem is formulated as a mixed-integer programming model that explicitly characterizes uncertainties in operational revenue and turbine lifespan. Additionally, the objective function integrates time discounting and penalty factors to quantify expected profits and maintenance expenditures accurately. Then, a novel daily rolling optimization algorithm is designed to dynamically update O&M decisions. In the framework, the spatiotemporal dependencies among OWTs are captured to refine assessment of power losses. In addition, a reliability function considering degradation-induced and shock-induced competing failures is derived. Case studies on two real-world offshore wind farms (OWFs) demonstrate the superior performance and robustness of the proposed method.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"75 ","pages":"1-11"},"PeriodicalIF":7.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148506828","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}

引用次数: 0

A Subelectron-Noise Skipper-CCD Readout ASIC With Improved Channel-to-Channel Isolation and an Integrated Cryogenic Voltage Reference 一种改进通道间隔离和集成低温电压基准的亚电子噪声跳频ccd读出ASIC

IF 7 2区工程技术

IEEE Transactions on Instrumentation and Measurement Pub Date : 2026-01-01 Epub Date: 2026-06-03 DOI: 10.1109/TIM.2026.3699759

Fabricio Alcalde Bessia;Claudio Chavez;Troy England;Hongzhi Sun;Andrew Lathrop;Davide Braga;Miguel Sofo-Haro;Juan Estrada;Farah Fahim

{"title":"A Subelectron-Noise Skipper-CCD Readout ASIC With Improved Channel-to-Channel Isolation and an Integrated Cryogenic Voltage Reference","authors":"Fabricio Alcalde Bessia;Claudio Chavez;Troy England;Hongzhi Sun;Andrew Lathrop;Davide Braga;Miguel Sofo-Haro;Juan Estrada;Farah Fahim","doi":"10.1109/TIM.2026.3699759","DOIUrl":"https://doi.org/10.1109/TIM.2026.3699759","url":null,"abstract":"The multichannel integrating dual-slope noise-aware (MIDNA) application-specific integrated circuits (ASICs) are a series of skipper-CCD readout chips fabricated in a 65 nm low-power CMOS process that implement a correlated double sampling (CDS) signal processing chain based on dual-slope integrators. They are designed to operate from room temperature to cryogenic temperatures, down to 84 K. The present iteration of the ASIC has been fabricated with several design updates and the addition of an on-chip voltage reference, resulting in improved performance. This work presents the main vulnerabilities solved, the changes carried out, and the resulting performance benefits. Measurements with a skipper-CCD and the ASIC at 140 K showed that the single-electron resolution can be reached by averaging the measured charge in the analog domain using the analog pile-up technique with a readout noise as low as <inline-formula> <tex-math>$mathrm {0.11~e^{-}_{rms}}$ </tex-math></inline-formula> of equivalent charge for 1200 averaged samples. The channel-to-channel crosstalk was characterized, showing an improvement from −38 dB in the previous iteration to better than −62 dB in the present ASIC. When using the analog pile-up technique, one limiting factor was the residual offset after CDS. In the updated ASIC, improvements to the integrator offset have decreased the CDS residue from 3.2 to 0.2 mV, enabling additional signal pile-up.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"75 ","pages":"2003310-2003310"},"PeriodicalIF":7.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148507433","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}

引用次数: 0

Dual-Uncertainty-Aware State Estimation of Electric-Gas Integrated Energy System via CNN-LSTM and Physical Constraint Data Alignment 基于CNN-LSTM和物理约束数据对齐的电-气集成能源系统双不确定性感知状态估计

IF 7 2区工程技术

IEEE Transactions on Instrumentation and Measurement Pub Date : 2026-01-01 Epub Date: 2026-01-12 DOI: 10.1109/TIM.2026.3652720

Wentao Ma;Aolin Chen;Hao Wu;Badong Chen

{"title":"Dual-Uncertainty-Aware State Estimation of Electric-Gas Integrated Energy System via CNN-LSTM and Physical Constraint Data Alignment","authors":"Wentao Ma;Aolin Chen;Hao Wu;Badong Chen","doi":"10.1109/TIM.2026.3652720","DOIUrl":"https://doi.org/10.1109/TIM.2026.3652720","url":null,"abstract":"As a complex system that integrates multiple forms of energy, there are multiple time-scale issues with the measurement data between different systems in the electricity-gas integrated energy system (EGIES). Meanwhile, to accurately monitor and predict the current state of the system, state estimation (SE) is becoming increasingly important for EGIES. However, during the SE process, the measurement uncertainty caused by the measurement data and the cognitive uncertainty caused by the model have not been widely studied. This article establishes a novel robust SE method using Monte Carlo (MC)-Dropout-enhanced convolutional neural network-long short-term memory (CNN-LSTM) model considering uncertainty. First, a data alignment method combining the internal physical constraint of natural gas pipelines with spline interpolation is developed for effectively addressing the issues of consistency and synchronization of measurement data at different time scales. Second, by integrating CNN-LSTM networks with the MC-Dropout technique while accounting for the effects of both cognitive uncertainty and measurement uncertainty on SE, this approach significantly enhances the accuracy and robustness of SE. Finally, by constructing probability density functions, interval SE results were obtained at different confidence levels, which intuitively expressed the uncertainty of SE and evaluated the accuracy of point estimation. Numerical experiments were conducted on IEEE 33-node and 14-node gas systems, and the results indicated that the proposed method achieves substantial improvements in SE accuracy for EGIES by accounting for cognitive and measurement uncertainties.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"75 ","pages":"1-16"},"PeriodicalIF":7.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148507535","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}

引用次数: 0

Ensemble Timescale Generation Using a Fused Kalman Filter and Three-States Weighting Approach 基于融合卡尔曼滤波和三态加权方法的集成时间尺度生成

IF 7 2区工程技术

IEEE Transactions on Instrumentation and Measurement Pub Date : 2026-01-01 Epub Date: 2026-06-16 DOI: 10.1109/TIM.2026.3704234

Yan Liu;Yang Liu;Rong Yang;Jiong Yi;Bo Xu;Yonghang Jiang;Lingjian Zeng;Rui Wang;Xiangwei Zhu

{"title":"Ensemble Timescale Generation Using a Fused Kalman Filter and Three-States Weighting Approach","authors":"Yan Liu;Yang Liu;Rong Yang;Jiong Yi;Bo Xu;Yonghang Jiang;Lingjian Zeng;Rui Wang;Xiangwei Zhu","doi":"10.1109/TIM.2026.3704234","DOIUrl":"https://doi.org/10.1109/TIM.2026.3704234","url":null,"abstract":"The growing demand for high-precision timekeeping has sparked great interest in how to generate stable timescales based on clock ensembles. While weighted-average algorithms are widely used for this purpose, their inherent limitation of assigning a single weight per clock hinders the simultaneous mitigation of multiple noise types, ultimately restricting timekeeping accuracy. To address this issue, this article proposes a Kalman filter plus three-states weighted-average (KPTW) algorithm, grounded in multiscale analysis. The method begins by employing a Kalman filter to estimate the clock bias, frequency deviation, and frequency drift of individual clocks, thereby decomposing different noise types into distinct clock states. Each state is then processed through a dedicated weighting strategy, enabling effective noise mitigation and drift reduction. The ensemble timescale is subsequently synthesized from these individually weighted states. Experimental results demonstrate that the proposed algorithm significantly enhances both short and long-term stability. Specifically, it achieves a 41.86% improvement in one-day stability compared with the AT1 algorithm, and an 83.19% improvement in one-month stability compared with the ALGOS algorithm. By supporting both externally referenced and self-sustaining operation modes, KPTW offers the versatility needed for broad adoption in time metrology labs.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"75 ","pages":"1005912-1005912"},"PeriodicalIF":7.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148508171","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}

引用次数: 0

A Near-Field Magnetization Vector Inversion Method Based on Direction Constraints 一种基于方向约束的近场磁场矢量反演方法

IF 7 2区工程技术

IEEE Transactions on Instrumentation and Measurement Pub Date : 2026-01-01 Epub Date: 2026-01-30 DOI: 10.1109/TIM.2026.3659659

Tianjiao Chen;Caijuan Ji;Zhihong Zhuang;Hong Wang

{"title":"A Near-Field Magnetization Vector Inversion Method Based on Direction Constraints","authors":"Tianjiao Chen;Caijuan Ji;Zhihong Zhuang;Hong Wang","doi":"10.1109/TIM.2026.3659659","DOIUrl":"https://doi.org/10.1109/TIM.2026.3659659","url":null,"abstract":"Magnetic anomaly data of underground magnetic targets can be acquired using accurate and reliable magnetic field measurement systems. Then, magnetic inversion techniques can be applied to analyze and interpret the measured data, ultimately revealing the magnetization characteristics and spatial location of the subsurface targets. Compared with the traditional scalar magnetic susceptibility inversion, magnetization vector inversion (MVI) is especially suitable for dealing with magnetic anomalies with remanent magnetic influence. However, MVI involves the inversion of three components and thus has a stronger inversion nonuniqueness. Focusing on the inversion of near-field magnetic anomaly measurement data, this article first analyzes the limitations of the traditional depth-weighting function in near-field magnetic inversion. Then, for the nonuniqueness of MVI, a near-field magnetic inversion optimization method based on direction constraints is proposed, taking into account that the direction of the magnetization vectors among the grid cells composing the magnetic target should be consistent. On the one hand, the method constructs a direction consistency constraints matrix, which constrains the magnetization directions of adjacent cells by quantifying the magnetization direction differences among grid cells. On the other hand, the main magnetization directions in the neighborhood of the grid cells are extracted by combining the local principal component analysis (PCA) method during the iterative solution process. The magnetization vectors of the grid cells are corrected by the adaptive weighted projection strategy, and the direction consistency among the grid cells is gradually enhanced. The inversion results on both simulated and measured data show that the proposed method can accurately invert targets even under complex geological conditions. This provides technical support for interpreting magnetic field measurement data.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"75 ","pages":"1-15"},"PeriodicalIF":7.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148508458","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}

引用次数: 0

Curvature-Driven Dynamic Blade Tip Clearance Measurement Using Microwave Sensor 基于微波传感器的曲率驱动动态叶尖间隙测量

IF 7 2区工程技术

IEEE Transactions on Instrumentation and Measurement Pub Date : 2026-01-01 Epub Date: 2026-02-06 DOI: 10.1109/TIM.2026.3661701

Yang Wang;Saisai Chen;Wei Fan;Yuyong Xiong;Jinzhong Lu;Zhike Peng

{"title":"Curvature-Driven Dynamic Blade Tip Clearance Measurement Using Microwave Sensor","authors":"Yang Wang;Saisai Chen;Wei Fan;Yuyong Xiong;Jinzhong Lu;Zhike Peng","doi":"10.1109/TIM.2026.3661701","DOIUrl":"https://doi.org/10.1109/TIM.2026.3661701","url":null,"abstract":"As a core parameter for performance evaluation of rotating blades and turbines, high-precision noncontact measurement of blade tip clearance (BTC) faces severe challenges. Microwave sensing is promising for BTC measurement. However, static BTC measurements suffer from DC offsets, nonlinear amplitude modulation, and harmonic distortion, and dynamic clearance extraction is degraded by critical phase mutations. To address these issues, this article proposes a curvature-feature-driven correction algorithm based on analytic geometry, namely curvature-adaptive dynamic correction (CADC). CADC provides a parameter-free correction framework that combines a curvature-driven bidirectional compensation mechanism with a curvature-weighted covariance correction matrix, thereby mitigating the above interferences and phase mutations. Simulations verify robust calibration under nonlinear amplitude modulation and high-order harmonic interference, outperforming several state-of-the-art microwave BTC methods. Experiments show that a microwave sensor system with CADC achieves an average static displacement error of <inline-formula> <tex-math>$4.150~mu $ </tex-math></inline-formula>m over a 0–10 mm clearance range. For dynamic BTC measurement, the average absolute error per blade is <inline-formula> <tex-math>$2.12~mu $ </tex-math></inline-formula>m with an average repeatability error of <inline-formula> <tex-math>$1.23~mu $ </tex-math></inline-formula>m, and stable performance is maintained up to 3000 r/min.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"75 ","pages":"1-11"},"PeriodicalIF":7.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148508947","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}

引用次数: 0

A Bionic Model of Taste-Emotion Nervous System Combined With an Electronic Tongue for Apple Origin Classification 结合电子舌的味觉-情感神经系统仿生模型用于苹果原产地分类

IF 7 2区工程技术

IEEE Transactions on Instrumentation and Measurement Pub Date : 2026-01-01 Epub Date: 2026-04-27 DOI: 10.1109/TIM.2026.3687315

Wenbo Zheng;Ancai Zhang;Quan Yuan;Guangyuan Pan;Jianlong Qiu

{"title":"A Bionic Model of Taste-Emotion Nervous System Combined With an Electronic Tongue for Apple Origin Classification","authors":"Wenbo Zheng;Ancai Zhang;Quan Yuan;Guangyuan Pan;Jianlong Qiu","doi":"10.1109/TIM.2026.3687315","DOIUrl":"https://doi.org/10.1109/TIM.2026.3687315","url":null,"abstract":"Apples of different production origins vary in quality due to differences in natural growing conditions. The practice of passing off low-quality apples as high-quality varieties is a widespread issue in the market. To address this issue, a bionic gustatory-emotion coupling model and Hebbian-habituation learning rule (GECM-HHLR), which mimics the nerve conduction and synaptic plasticity mechanisms of the human taste and emotional systems (HTESs), is proposed and combined with an electronic tongue (e-tongue) for apple origin recognition. First, GECM-HHLR describes the transmission pathways and learning patterns of HTESs information and improves the 1/f characteristics of brain responses under the stimulation of e-tongue data, demonstrating the bionic performance of GECM-HHLR in processing e-tongue data. Second, GECM-HHLR achieves superior results in the classification of apple origins in comparison with mainstream baseline models of the e-tongue system, confirming the adaptability of GECM-HHLR for apple origin analysis. Finally, the fusion of GECM-HHLR and convolutional neural network (CNN) yields the optimal performance with an accuracy of 98.75%, a kappa coefficient of 98.57%, an <inline-formula> <tex-math>$F {_{{1}}}$ </tex-math></inline-formula>-score of 98.81%, and a precision of 98.64% in apple origin identification, outperforming multiple state-of-the-art algorithms. In conclusion, effective classification of apple origins is achieved via GECM-HHLR and CNN, providing a biological mechanism-based approach for sensor data processing in food detection.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"75 ","pages":"1-13"},"PeriodicalIF":7.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148509288","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}

引用次数: 0

SINS/DVL Calibration Optimization and Robust Integrated Navigation Method for AUVs 水下机器人SINS/DVL标定优化及鲁棒组合导航方法

IF 7 2区工程技术

IEEE Transactions on Instrumentation and Measurement Pub Date : 2026-01-01 Epub Date: 2026-03-10 DOI: 10.1109/TIM.2026.3670583

Siyu Wang;Qixin Sha;Binghui Ji;Shangfa Song;Peimiao Chen;Bo He

{"title":"SINS/DVL Calibration Optimization and Robust Integrated Navigation Method for AUVs","authors":"Siyu Wang;Qixin Sha;Binghui Ji;Shangfa Song;Peimiao Chen;Bo He","doi":"10.1109/TIM.2026.3670583","DOIUrl":"https://doi.org/10.1109/TIM.2026.3670583","url":null,"abstract":"Accurate alignment between the Doppler velocity log (DVL) and the strapdown inertial navigation system (SINS) is essential for reliable autonomous underwater vehicle (AUV) navigation, especially in dynamic and global navigation satellite system (GNSS)-denied environments. Conventional DVL calibration methods often suffer from local optima and limited robustness, leading to inaccurate estimation of scale factors and misalignment angles. While optimized calibration parameters can improve the performance of traditional filters such as an extended Kalman filter (EKF) or an unscented Kalman filter (UKF), their effectiveness remains sensitive to environmental disturbances, outliers, and non-Gaussian noise. To address these challenges, this article proposes a unified calibration and navigation framework. A simulated annealing adaptive particle swarm optimization (SA-APSO) algorithm is developed to globally and robustly estimate DVL error parameters. These parameters are then used in conjunction with a modified residual adaptive UKF (MRUKF) with M-estimation, which enhances resilience to measurement anomalies and dynamic noise. Unlike conventional filters, MRUKF adaptively adjusts residual weighting, allowing it to better exploit calibration benefits under nonideal conditions. Simulations conducted on four representative AUV trajectories demonstrate the superiority of the proposed framework. Compared with EKF and UKF, endpoint errors are reduced by up to 50.2% and 54.1%, respectively, while the overall position root mean square error (RMSE) decreases by 30.6% and 29.6%. These results confirm that combining accurate calibration with robust filtering is essential for high-precision navigation in realistic, uncertain underwater environments.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"75 ","pages":"1-12"},"PeriodicalIF":7.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148509315","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}

引用次数: 0