IEEE Transactions on Instrumentation and Measurement最新文献_第7页

Spatial–Temporal 3-D Directional Binary Coding Method for Fringe Projection Profilometry 条纹投影轮廓术的时空三维定向二值编码方法

IF 5.6 2区工程技术

IEEE Transactions on Instrumentation and Measurement Pub Date : 2025-04-28 DOI: 10.1109/TIM.2025.3565071

Haitao Wu;Yiping Cao;Yongbo Dai;Jiayi Qin

{"title":"Spatial–Temporal 3-D Directional Binary Coding Method for Fringe Projection Profilometry","authors":"Haitao Wu;Yiping Cao;Yongbo Dai;Jiayi Qin","doi":"10.1109/TIM.2025.3565071","DOIUrl":"https://doi.org/10.1109/TIM.2025.3565071","url":null,"abstract":"Fringe projection profilometry (FPP) is a leading optical technique for high-speed and efficient 3-D measurements, crucial in automation for enhancing efficiency, quality, productivity, and reliability. Traditional FPP methods face challenges with limited pattern quantity and coding efficiency. This article introduces a novel spatial-temporal 3-D directional binary coding (STDBC) method, enhancing the conventional binary coding approach by incorporating the temporal dimension. Compared to the traditional four codewords in 1-D (x) and nine codewords in 2-D (x and y) methods, this integration expands codewords in the 3-D (x, y, and t) space, achieving up to 81 ultralarge codewords. To address decoding difficulties caused by synchronization circuit delays or memory optimization, the article introduces a directional coding method to ensure the correct decoding position of coded patterns. Additionally, a region contraction method was developed to suppress the percentage shift problem caused by static defocusing and motion blur, respectively. Under the optimized projection-decoding paradigm, the proposed method can achieve the same reconstruction efficiency as conventional single-frame coded maps with guaranteed reconstruction accuracy. Experimental results demonstrate that this method significantly advances high-precision and high-efficiency 3-D imaging as well as paves the way for further research and practical applications in various automated dynamic measurement environments.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"74 ","pages":"1-11"},"PeriodicalIF":5.6,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143924951","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

LG-VIWO: Visual-Inertial-Wheel Odometry Leveraging the Depth-Aided Local Ground Constraints for Mobile Robots 基于深度辅助局部地面约束的移动机器人视觉-惯性-车轮里程计

IF 5.6 2区工程技术

IEEE Transactions on Instrumentation and Measurement Pub Date : 2025-04-28 DOI: 10.1109/TIM.2025.3565096

Wenjun Li;Gang Wang;Qi Zhang;Jiayin Liu

{"title":"LG-VIWO: Visual-Inertial-Wheel Odometry Leveraging the Depth-Aided Local Ground Constraints for Mobile Robots","authors":"Wenjun Li;Gang Wang;Qi Zhang;Jiayin Liu","doi":"10.1109/TIM.2025.3565096","DOIUrl":"https://doi.org/10.1109/TIM.2025.3565096","url":null,"abstract":"Visual-inertial odometry (VIO) has been widely applied in mobile robots due to its low cost and versatility. However, the planar motion of mobile robots leads to the degradation of observability in VIO, while slope variations in outdoor environments invalidate the global planar assumption of existing VIO methods, resulting in a reduction in localization accuracy. To address these issues, this article proposes a novel depth-assisted tightly coupled optimization framework for visual-inertial-wheel odometry (VIWO). By extracting the local ground as a key reference plane and incorporating the geometric relationship between the mobile robot and the local ground, novel height and attitude constraints are proposed, enabling the framework to effectively suppress drift in the vertical direction as well as in the roll and pitch degrees of freedom. First, voxel filtering is applied to downsample the dense 3-D point cloud generated by the depth camera, which reduces computational complexity while removing noise points from the raw point cloud. Subsequently, the RANSAC plane fitting method is employed to robustly identify local ground planes in environments with noise and dynamic objects. Finally, height and attitude constraints are designed based on the local ground plane parameters, and these are integrated with visual reprojection constraints and inertial-wheel preintegration constraints into the tightly coupled optimization framework to further improve pose estimation accuracy. We evaluate the performance of the proposed method using the KAIST complex urban dataset and real-world experiments, and compare it with state-of-the-art visual-inertial methods such as VINS-Fusion and VIW-Fusion. The results demonstrate that the proposed method achieves high accuracy in mobile robot localization and exhibits greater robustness in uneven terrains and dynamic urban environments.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"74 ","pages":"1-11"},"PeriodicalIF":5.6,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143925216","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

Flow Rate Estimation Based on Magnetic Particle Detection Using a Miniatured High-Sensitivity OPM 基于小型高灵敏度OPM的磁颗粒检测流量估计

IF 5.6 2区工程技术

IEEE Transactions on Instrumentation and Measurement Pub Date : 2025-04-28 DOI: 10.1109/TIM.2025.3565069

Ying Liu;Binyue Huang;Jiajie Li;Renjie Li;Yueyang Zhai

{"title":"Flow Rate Estimation Based on Magnetic Particle Detection Using a Miniatured High-Sensitivity OPM","authors":"Ying Liu;Binyue Huang;Jiajie Li;Renjie Li;Yueyang Zhai","doi":"10.1109/TIM.2025.3565069","DOIUrl":"https://doi.org/10.1109/TIM.2025.3565069","url":null,"abstract":"The efficacy of magnetic particles (MPs) in cancer treatments prompts the investigation into MP detection methods. However, due to their microsize, MPs produce weak magnetic field signals that necessitate highly sensitive measurements to extract useful information. In this study, we introduce a technique for detecting individual MPs using a compact optically pumped magnetometer (OPM). A noninvasive and radiation-free flow rate estimation method based on the OPM is further proposed, demonstrating its clinical potential. A miniaturized dual-beam spin-exchange relaxation-free (SERF) OPM is fabricated for the system, achieving a remarkable sensitivity of 8.6 fT/Hz<inline-formula> <tex-math>${}^{text {1/2}}$ </tex-math></inline-formula> in a compact volume of 7.7 cm3. The magnetometer accurately measures the dynamic magnetic fields, enabling the detection of translational and rotational motions of MPs in fluid flow. The particle rotation frequencies are extracted from magnetometer responses using the continuous wavelet transform (CWT), revealing a positive correlation between the flow rate and rotation frequency. Besides, CWT effectively mitigates the cardiac magnetic interference that may arise during in vivo measurements, showcasing its high applicability in processing MP signals. Finally, 90.2% of the flow rates are correctly predicted by a regression tree trained with mean and standard deviation as predictors. Overall, this highly sensitive system facilitates noninvasive and rapid flow estimation, validating promising potential for biomedical research and clinical practice.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"74 ","pages":"1-10"},"PeriodicalIF":5.6,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143925218","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 Separable Bi-Pyramidal Feature Attention Network to Detect Alzheimer’s Using Electroencephalographic Signals 利用脑电图信号检测阿尔茨海默病的可分离双锥体特征注意网络

IF 5.6 2区工程技术

IEEE Transactions on Instrumentation and Measurement Pub Date : 2025-04-28 DOI: 10.1109/TIM.2025.3565100

Sandesh Kalambe;Mohan Karnati;Ayan Seal;Marek Penhaker;Ondrej Krejcar

{"title":"A Separable Bi-Pyramidal Feature Attention Network to Detect Alzheimer’s Using Electroencephalographic Signals","authors":"Sandesh Kalambe;Mohan Karnati;Ayan Seal;Marek Penhaker;Ondrej Krejcar","doi":"10.1109/TIM.2025.3565100","DOIUrl":"https://doi.org/10.1109/TIM.2025.3565100","url":null,"abstract":"Signal categorization is crucial in many clinical areas, including the diagnosis of Alzheimer’s disease (AD), a common neurological disorder marked by symptoms such as memory loss and speech difficulties. This study focuses on how to distinguish between Alzheimer’s patients and healthy persons using electroencephalogram (EEG) signals, a noninvasive, low-cost diagnostic approach. We describe a novel separable bi-pyramidal feature attentive network (SBPFAN) that extracts multiscale deep attributes from 2-D images of 8-s EEG segments using separable and dilated convolutions (DCs). A feature attention block (FAB) is incorporated at each pyramid level to emphasize notable AD-related characteristics. After concatenating and processing the FAB feature maps through several dense layers, a softmax layer is employed for classification. Two datasets are used in three different experimental setups—subject-dependent, subject-independent, and cross-dataset—to estimate SBPFAN’s performance. Experimental results demonstrate that SBPFAN is effective and holds significant potential for medical and industrial applications in AD detection.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"74 ","pages":"1-15"},"PeriodicalIF":5.6,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143949217","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

Counterfactual Inference for Generalized Zero-Shot Compound-Fault Diagnosis 广义零弹复合故障诊断的反事实推理

IF 5.6 2区工程技术

IEEE Transactions on Instrumentation and Measurement Pub Date : 2025-04-28 DOI: 10.1109/TIM.2025.3565070

Juan Xu;Hui Kong;Xu Ding;Xiaohui Yuan

{"title":"Counterfactual Inference for Generalized Zero-Shot Compound-Fault Diagnosis","authors":"Juan Xu;Hui Kong;Xu Ding;Xiaohui Yuan","doi":"10.1109/TIM.2025.3565070","DOIUrl":"https://doi.org/10.1109/TIM.2025.3565070","url":null,"abstract":"Learning a model heavily depends on the training examples, which are sometimes difficult to obtain if not impossible. This a typically true for fault diagnosis in machinery, particularly for compound faults. The counterfactual inference reveals the causal components inherent in the fault data in an interpretable manner, divulging critical causes from the observable phenomena. This article proposes a method to address the imbalance and interpretability issues of generalized zero-shot learning (GZSL) methods for compound-fault diagnosis using counterfactual inference. Our method uses a structural causal model (SCM) to decouple and generate fault features, which enhances the capabilities of the variational autoencoder and generative adversarial network (VAE-GAN) through a strengthened discriminator, and reveals the intrinsic causal components in fault data, distinguishing key fault causes from accompanying phenomena. This enables the classification of both single and compound faults by learning from examples of single faults, easing the dependence on the examples of compound faults. Extensive experimental results show that our method, trained solely with single-fault samples, achieves a harmonic average of 87.40% accuracy for both single and compound faults, outperforming existing state-of-the-art methods. This significantly improves both the accuracy and interpretability of compound-fault diagnosis.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"74 ","pages":"1-11"},"PeriodicalIF":5.6,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144073343","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-Model Fusion Method Based on DBTBoost for Fault Diagnosis 基于DBTBoost的双模型融合故障诊断方法

IF 5.6 2区工程技术

IEEE Transactions on Instrumentation and Measurement Pub Date : 2025-04-28 DOI: 10.1109/TIM.2025.3565101

Lingfeng Wang;Fei Xing;Jianjun Shi;Qiang Wang

{"title":"Dual-Model Fusion Method Based on DBTBoost for Fault Diagnosis","authors":"Lingfeng Wang;Fei Xing;Jianjun Shi;Qiang Wang","doi":"10.1109/TIM.2025.3565101","DOIUrl":"https://doi.org/10.1109/TIM.2025.3565101","url":null,"abstract":"With the intelligent upgrading of manufacturing equipment, high precision and efficiency fault diagnosis improves the stability and productivity. To detect the fault state accurately, the fault diagnosis methods based on dual-model fusion are widely used. Actually, fault diagnosis needs to response fast, so high efficiency of fusion model requirements is imminent. The fusion model may have complex interrelationships and dependencies between multiple parameters, which impact on diagnostic accuracy. Therefore, a dual-model fusion method based on DBTBoost for fault diagnosis is proposed. First, based on the discrete gradient boosting method, multiple model weak classifiers are constructed, and the results of the classifiers are integrated through the Top-K mechanism to initially construct the dual-model fusion single-objective function. Second, based on the dynamic Bayesian multiparameters optimization method, the multiobjective parameters are adjusted globally to construct the optimal fusion model. Finally, the model performance is verified by model accuracy and efficiency evaluation indexes. The method is practically verified in the fault diagnosis of additive manufacturing (AM) equipment. The experimental results show that the dual-model fusion method based on DBTBoost achieves 99.45% accuracy, with a diagnosis time of 0.65 s and a training time of 503 s. The method improves the accuracy by 4.92% and efficiency by 41.4%.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"74 ","pages":"1-10"},"PeriodicalIF":5.6,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144073351","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

Tracklets Association Algorithm for Multitarget Tracking With Distributed Through-Wall Imaging Radar 分布式穿壁成像雷达多目标跟踪的轨迹关联算法

IF 5.6 2区工程技术

IEEE Transactions on Instrumentation and Measurement Pub Date : 2025-04-28 DOI: 10.1109/TIM.2025.3562992

Yu Yao;Shisheng Guo;Jiahui Chen;Guolong Cui;Lingjiang Kong;Xiaobo Yang

{"title":"Tracklets Association Algorithm for Multitarget Tracking With Distributed Through-Wall Imaging Radar","authors":"Yu Yao;Shisheng Guo;Jiahui Chen;Guolong Cui;Lingjiang Kong;Xiaobo Yang","doi":"10.1109/TIM.2025.3562992","DOIUrl":"https://doi.org/10.1109/TIM.2025.3562992","url":null,"abstract":"In practical scenarios, obstacles, such as furniture or building structures, are commonly present within rooms, making multitarget tracking in distributed through-wall imaging radar (TWIR) a challenging task. Especially, the unobservable area caused by obstacles can result in the tracker generating multiple tracklets rather than a continuous and complete trajectory. Tracklets association is crucial for improving the readability of tracking results, but it remains an unsolved problem in distributed TWIR. In this article, we propose a tracklets association method for the continuity of target’s identification (ID) in distributed TWIR. Specifically, first, the local tracklets can be get by mean-shift tracking method in each TWIR node. The global tracklets is composed of local tracklets after renumbering. Then, the similarity between global tracklets is calculated based on their motion characteristics. The tracklets-target’s ID matching matrix (TTI-MM) is given to express the association relationship between global tracklets and target’s ID, which can be solved by minimizing the difference between the similarity matrix and the TTI-MM. Based on the global tracklets marked with target’s ID, the view-dependent features of the ghost is utilized for ghost ID. Finally, the performance of the proposed method is validated by simulation and experimental results.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"74 ","pages":"1-12"},"PeriodicalIF":5.6,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143896398","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 Novel Multitransmitter and Multitarget Electromagnetic Positioning Model With Large Range and High Accuracy 一种新型的大范围高精度多发射机多目标电磁定位模型

IF 5.6 2区工程技术

IEEE Transactions on Instrumentation and Measurement Pub Date : 2025-04-28 DOI: 10.1109/TIM.2025.3565068

Peijun Zhong;Xujie Zhao;Zhiyong Yuan;Tingbao Zhang;Yu Feng;Jianhui Zhao

{"title":"A Novel Multitransmitter and Multitarget Electromagnetic Positioning Model With Large Range and High Accuracy","authors":"Peijun Zhong;Xujie Zhao;Zhiyong Yuan;Tingbao Zhang;Yu Feng;Jianhui Zhao","doi":"10.1109/TIM.2025.3565068","DOIUrl":"https://doi.org/10.1109/TIM.2025.3565068","url":null,"abstract":"We propose a novel multitransmitter and multitarget electromagnetic positioning (EMP) model to address the issues of limited positioning range and low long-distance positioning accuracy of the existing single-transmitter EMP (EMP-Single) algorithms. The design of multitransmitter provides the model with a more flexible topology. During operation, the system autonomously selects an optimal combination of transmitters for positioning, thereby achieving a larger positioning range. The use of a two-stage accuracy improvement algorithm effectively reduces the system’s positioning error. Additionally, a frequency improvement algorithm is introduced to shorten the positioning cycle and increase the system’s frequency. Finally, we build a prototype system and successfully validate the effectiveness of our model and algorithm. Our EMP prototype system is proved to have higher positioning accuracy and a larger positioning range and can achieve high-accuracy positioning with a root mean square error (RMSE) of 0.1 cm in a large range with a positioning distance of 45 cm. The presented new model is possible to be used in human-computer interaction, VR/AR, and Internet of Things (IoT)-related fields such as hand gesture tracking.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"74 ","pages":"1-12"},"PeriodicalIF":5.6,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143937972","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

Multirate Dynamic Variational Autoencoder for Fault Detection in Nonlinear Industrial Processes

IF 5.6 2区工程技术

IEEE Transactions on Instrumentation and Measurement Pub Date : 2025-04-28 DOI: 10.1109/TIM.2025.3565026

Ze Ying;Yuqing Chang;Jinsha Yang;Fuli Wang;Yuchen He

{"title":"Multirate Dynamic Variational Autoencoder for Fault Detection in Nonlinear Industrial Processes","authors":"Ze Ying;Yuqing Chang;Jinsha Yang;Fuli Wang;Yuchen He","doi":"10.1109/TIM.2025.3565026","DOIUrl":"https://doi.org/10.1109/TIM.2025.3565026","url":null,"abstract":"The variational autoencoder (VAE) has proven highly effective in monitoring nonlinear stochastic processes, primarily under the assumption of complete and temporally independent data. However, real-world industrial data often exhibit additional complexities, such as multiple sampling rates and dynamic behavior, which complicate the development of efficient latent variable models for nonlinear systems. To address these challenges, this study proposes a novel multirate dynamic VAE (MDVAE) model, specifically designed for dynamic industrial fault detection with incomplete dataset. In MDVAE, both the encoder and decoder are adapted to a multirate structure, enabling the latent variables to capture nonlinear correlations across varying sampling rates. Additionally, a first-order Markov chain is applied to the latent variables to represent the dynamic behavior of multirate nonlinear systems. The effectiveness of MDVAE is demonstrated using the Tennessee Eastman and coal-fired power generation processes (CFPs). The experimental results show that the proposed model outperforms comparable approaches in addressing the coexisting challenges of multirate sampling and nonlinear dynamics.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"74 ","pages":"1-12"},"PeriodicalIF":5.6,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143943909","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

An Ultrasonic Guided Waves-Based Assessing Method for Decay-Like Degrees of Composite Insulator Core Rods

IF 5.6 2区工程技术

IEEE Transactions on Instrumentation and Measurement Pub Date : 2025-04-28 DOI: 10.1109/TIM.2025.3565104

Shuqi Fang;Shengwen Shu;Bizhen Zhang;Jun Xu;Chaoying Fang;Xiaojie Wang

{"title":"An Ultrasonic Guided Waves-Based Assessing Method for Decay-Like Degrees of Composite Insulator Core Rods","authors":"Shuqi Fang;Shengwen Shu;Bizhen Zhang;Jun Xu;Chaoying Fang;Xiaojie Wang","doi":"10.1109/TIM.2025.3565104","DOIUrl":"https://doi.org/10.1109/TIM.2025.3565104","url":null,"abstract":"In recent years, the decay-like fracture of composite insulator core rods is encountered frequently, which has seriously affected the reliability of transmission lines. However, there is a lack of assessment method to quantify the degrees of composite insulator core rod degradation. In this article, a method for assessing the degree of composite insulator’s degradation based on ultrasonic guided waves was proposed. The study focused on core rods with different decay-like fracture degrees in composite insulators obtained from the field. Simulations and tests of ultrasonic guided waves were conducted to assess the decay-like degrees, and the physicochemical properties of composite insulators at different stages of decay-like development were tested to verify the assessment results from a microscopic perspective. The results show that the 35 kHz T(0, 1) and 55 kHz L(0, 1) modes are suitable for detection, and the peak-to-peak values of the ultrasonic guided wave packet received at a certain distance decrease with the increase of the decay-like degree. With the progression of decay-like aging, the dielectric constant, the dielectric loss tangent, and the carbon content in the core rod increase significantly. On the other hand, the oxygen and silicon contents show the opposite trend. Infrared spectral results can effectively distinguish new factory samples and samples with decay-like fracture deterioration. However, it shows limited differentiation capability for composite insulators at various stages of decay-like aging. The research provided a reference for assessing the decay-like degree of composite insulator core rods.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"74 ","pages":"1-13"},"PeriodicalIF":5.6,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143943914","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