IEEE Transactions on Instrumentation and Measurement最新文献_第9页

Efficient Reconstruction for Dual Profilometry 双轮廓术的高效重建

IF 5.9 2区工程技术

IEEE Transactions on Instrumentation and Measurement Pub Date : 2025-09-02 DOI: 10.1109/TIM.2025.3604950

Junzheng Peng;Wenlong Shao;Manhong Yao;Jian Liu;Shiping Li;Jingang Zhong

{"title":"Efficient Reconstruction for Dual Profilometry","authors":"Junzheng Peng;Wenlong Shao;Manhong Yao;Jian Liu;Shiping Li;Jingang Zhong","doi":"10.1109/TIM.2025.3604950","DOIUrl":"https://doi.org/10.1109/TIM.2025.3604950","url":null,"abstract":"Fringe projection profilometry (FPP) has emerged as a widely used noncontact 3-D measurement technique due to its full-field acquisition, high precision, and rapid measurement capabilities. However, its performance degrades significantly when measuring objects with complex surface reflection characteristics, as light undergoes interreflection and subsurface scattering during measurement, generating indirect light signals that lead to reconstruction errors. Dual profilometry, a computational 3-D profilometry based on dual photography theory, overcomes this limitation by treating each camera pixel as a single-pixel detector to isolate the direct light signals. While theoretically effective, existing implementations need the reconstruction of millions of dual images. To overcome this limitation, we present an efficient reconstruction method that avoids dual image reconstruction. Experimental validation demonstrates that the reconstruction speed can be substantially improved compared with existing dual profilometry implementations, achieved without compromising reconstruction accuracy. The proposed method effectively resolves the efficiency bottleneck that has hindered the practical adoption of dual profilometry, enabling its deployment in practical applications such as industrial inspection and high-resolution biomedical surface characterization.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"74 ","pages":"1-19"},"PeriodicalIF":5.9,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145061802","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

Performance Evaluation of Magnetocardiography Sensor Arrays via Cramér–Rao Bound for Cardiac Source Localization 基于cram<s:1> - rao界的心磁传感器阵列心脏源定位性能评价

IF 5.9 2区工程技术

IEEE Transactions on Instrumentation and Measurement Pub Date : 2025-09-01 DOI: 10.1109/TIM.2025.3604125

Min Zhang;Yanmei Wang;Peilun Li;Yadan Zhang;Min Xiang

{"title":"Performance Evaluation of Magnetocardiography Sensor Arrays via Cramér–Rao Bound for Cardiac Source Localization","authors":"Min Zhang;Yanmei Wang;Peilun Li;Yadan Zhang;Min Xiang","doi":"10.1109/TIM.2025.3604125","DOIUrl":"https://doi.org/10.1109/TIM.2025.3604125","url":null,"abstract":"Magnetocardiography (MCG) source localization plays a key role in estimating cardiac electrical activity and identifying abnormal activity locations for disease diagnosis. To improve estimation accuracy in clinical applications, evaluating the performance of MCG sensor arrays is crucial for selecting optimal configurations. Such evaluations have traditionally been conducted through various metrics. However, these metrics depend on specific estimation algorithms and fail to directly reflect how the sensor array influences the variance of parameter estimation. Furthermore, the diversity of estimation algorithms hinders the establishment of uniform assessment criteria. To overcome these challenges, we present an evaluation method for MCG arrays focused on minimizing the variance in source parameter estimation. The method leverages the Cramér–Rao bound (CRB), a theoretical limit on the variance of unbiased estimators and independent of the employed algorithm. Aided by the boundary element method (BEM), we derive the CRB framework for estimating cardiac source parameters using MCG data and quantify the effect of adding sensors on the CRB. In addition, we utilize the CRB to evaluate the performance of MCG arrays measuring different magnetic field components, quantifying the advantages of 3-D vector field measurements for source estimation. Compared to conventional radial measurements, 3-D vector measurements reduce the equivalent uncertainty radius by more than 25.62%. Finally, we apply the approach to optimize sensor arrangements when the number of sensors is limited. Overall, our results show that the CRB effectively evaluates MCG arrays across diverse configurations, making it applicable to various clinical and engineering applications.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"74 ","pages":"1-10"},"PeriodicalIF":5.9,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145005458","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 Three-Branch Cross-Modal Interactive Network for RGB-D Salient Defect Detection RGB-D显著缺陷检测的三分支跨模态交互网络

IF 5.9 2区工程技术

IEEE Transactions on Instrumentation and Measurement Pub Date : 2025-09-01 DOI: 10.1109/TIM.2025.3599282

Lisha Cui;Ming Ma;Chaochao Li;Xiaoheng Jiang;Zhiwen Song;Lijian Fan;Mingliang Xu

{"title":"A Three-Branch Cross-Modal Interactive Network for RGB-D Salient Defect Detection","authors":"Lisha Cui;Ming Ma;Chaochao Li;Xiaoheng Jiang;Zhiwen Song;Lijian Fan;Mingliang Xu","doi":"10.1109/TIM.2025.3599282","DOIUrl":"https://doi.org/10.1109/TIM.2025.3599282","url":null,"abstract":"RGB defective images are abundant in color and texture, whereas depth images exhibit prominent defect shapes and boundaries. Given this fact, we propose a three-branch cross-modal interactive network for RGB-D salient defect detection (TCI-Net). Specifically, we first perform a real three-stream encoder–decoder network at both the image level and feature level, with each branch utilizing RGB, RGB-D, and depth images as input to fully extract the underlying complementary information from each modality. In the encoder stage, a differential guidance module (DGM) is proposed to guide the RGB branch in learning the boundary shape features of defects, while a fusion perception module (FPM) is devised to facilitate the depth branch in encoding more textual knowledge. In addition, we propose a cross-modal feature refinement module (CFRM) to bridge the feature gap between modalities and enhance information interaction. Finally, in the decoder stage, we incorporate boundary map supervision and a semantic guidance module (SGM) to enhance the details and contextual semantics of the defects, while gradually reconstructing the spatial scale. Extensive experiments and analyses on the RGB-D defect dataset NEU RSDDS-AUG demonstrate that the proposed TCI-Net significantly improves the segmentation accuracy compared with state-of-the-art algorithms.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"74 ","pages":"1-11"},"PeriodicalIF":5.9,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145051050","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 Visual Measurement Method for Large-Span Bridge Deformation Combining Super-Resolution-Aided and Rotating Box Target Tracking 一种结合超分辨率辅助和旋转箱目标跟踪的大跨度桥梁变形视觉测量方法

IF 5.9 2区工程技术

IEEE Transactions on Instrumentation and Measurement Pub Date : 2025-09-01 DOI: 10.1109/TIM.2025.3600728

Mao Li;Sen Wang;Tao Fu;Sen Lin;Ruiyang Sun

{"title":"A Visual Measurement Method for Large-Span Bridge Deformation Combining Super-Resolution-Aided and Rotating Box Target Tracking","authors":"Mao Li;Sen Wang;Tao Fu;Sen Lin;Ruiyang Sun","doi":"10.1109/TIM.2025.3600728","DOIUrl":"https://doi.org/10.1109/TIM.2025.3600728","url":null,"abstract":"Although vision-based measurement methods are beginning to be widely used in measuring displacements of structural bodies, limitations such as low camera resolution or difficulty in selecting the location of the measurement base station still exist in vision-based structural displacement measurement methods. To address the above problems, this article proposes a combined super-resolution (SR)-assisted and rotating box target tracking visual measurement method for the deformation of large-span bridges. Through several effective innovations, the accuracy of the visual algorithm on the displacement measurement of the structure body is greatly improved based on solving the deficiencies of the existing visual algorithm. The algorithm in this article reduces the mean root mean square error (mRMSE) by 7.64%, the mMAE by 12.72%, and the mR2 improves by 0.69% compared with the baseline YOLOv9 network. We conducted accurate experimental tests on a model bridge and then applied this method to the Longjiang Bridge and Humen Bridge, and all three evaluation indexes were optimal. Our code will be available at <uri>https://github.com/Onlyou-wu/SRTNet-YOLO_SR</uri>.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"74 ","pages":"1-18"},"PeriodicalIF":5.9,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145036740","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

CrackMDM: Masked Modeling on DCT Domain for Efficient Pavement Crack Segmentation 裂缝mdm：基于DCT域的掩模路面裂缝有效分割

IF 5.9 2区工程技术

IEEE Transactions on Instrumentation and Measurement Pub Date : 2025-09-01 DOI: 10.1109/TIM.2025.3604145

Huajun Liu;Yuan Jiang;Cailing Wang;Suting Chen;Hui Kong

{"title":"CrackMDM: Masked Modeling on DCT Domain for Efficient Pavement Crack Segmentation","authors":"Huajun Liu;Yuan Jiang;Cailing Wang;Suting Chen;Hui Kong","doi":"10.1109/TIM.2025.3604145","DOIUrl":"https://doi.org/10.1109/TIM.2025.3604145","url":null,"abstract":"Existing pavement crack inspection methods heavily rely on a large amount of annotated samples and require overburdened computational power, which is not affordable on edge devices. Recent methods mostly focus on spatial features, which cannot effectively capture the long, continuous, tender, and thin road features. The masked image modeling (MIM) is an effective way to rebuild the crack primitive features by masking strategy on unlabeled data to reduce the dependence on annotated data, and the convolution on the frequency domain provides a flexible and efficient path to capture continuous and tender road features. Inspired by the thoughts of masked frequency modeling (MFM), we proposed a masked discrete cosine transform (DCT)-domain modeling strategy, named crack masked DCT-domain modeling (CrackMDM), for efficient pavement crack segmentation. Specifically, we propose a DCT-domain masked modeling method in the CrackMDM model, which combines the advantages of separable convolutions and spectral convolutions (SP-Convs) in the DCT domain to extract continuous and tender crack structures. Additionally, we introduce the self-supervised pretraining with a masking strategy in the DCT domain using unlabeled crack samples to build crack primitives and to fine-tune the encoder and decoder parameters on labeled crack data to refine crack features in the fine-tuning phase. The CrackMDM model is evaluated on three public benchmarks: CFD, YCD, and GAPs, and achieves state-of-the-art (SOTA) performance with superior inference speed. Codes are available at <uri>https://github.com/Jyuan357/CrackMDM</uri>","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"74 ","pages":"1-15"},"PeriodicalIF":5.9,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145051009","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

Perceiver IO Model for Efficient Vibration Signal Compression and Anomaly Detection 高效振动信号压缩与异常检测的感知器IO模型

IF 5.9 2区工程技术

IEEE Transactions on Instrumentation and Measurement Pub Date : 2025-09-01 DOI: 10.1109/TIM.2025.3604141

Guillaume Lebonvallet;Luis A. Salazar-Zendeja;Faicel Hnaien;Hichem Snoussi;Brice Nélain

{"title":"Perceiver IO Model for Efficient Vibration Signal Compression and Anomaly Detection","authors":"Guillaume Lebonvallet;Luis A. Salazar-Zendeja;Faicel Hnaien;Hichem Snoussi;Brice Nélain","doi":"10.1109/TIM.2025.3604141","DOIUrl":"https://doi.org/10.1109/TIM.2025.3604141","url":null,"abstract":"This research presents a deep learning model for vibration signal compression and anomaly detection, using Perceiver IO—an attention-based architecture—within a railway industry case study. The model is lightweight and optimized for deployment on energy- and memory-constrained sensors, making it ideal for embedded applications. Unlike traditional methods, it performs signal compression and anomaly detection simultaneously, offering an efficient and unified solution applicable across industries. To avoid the need for separate classification models or heavy architectures, contrastive learning is used to improve feature extraction. This allows the learned representations to be easily separable via a simple linear function, enabling effective anomaly detection while preserving signal reconstruction quality. The model is trained on a large vibration signal dataset using a weighted loss function combining mean squared error (mse), cosine similarity, and contrastive loss. Contrastive learning plays a key role in clustering normal and abnormal signals, achieving near-perfect classification accuracy. Compression performance is evaluated with metrics such as peak signal-to-noise ratio (PSNR), cosine similarity, and compression ratio. The model achieves a PSNR of 21.87 while maintaining a much smaller architecture. The approach shows strong potential for real-time industrial deployment, ensuring high accuracy and efficiency in resource-constrained environments.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"74 ","pages":"1-12"},"PeriodicalIF":5.9,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145036897","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

Determination of Electrode/Electrolyte Interface Impedance via Transfer Length Method and Its Application to Solid Polymer Electrolytes 传递长度法测定电极/电解质界面阻抗及其在固体聚合物电解质中的应用

IF 5.9 2区工程技术

IEEE Transactions on Instrumentation and Measurement Pub Date : 2025-08-29 DOI: 10.1109/TIM.2025.3604149

Jinpyeo Jeung;Inyeol Yun;Yeongmin Kim;Yoonyoung Chung

{"title":"Determination of Electrode/Electrolyte Interface Impedance via Transfer Length Method and Its Application to Solid Polymer Electrolytes","authors":"Jinpyeo Jeung;Inyeol Yun;Yeongmin Kim;Yoonyoung Chung","doi":"10.1109/TIM.2025.3604149","DOIUrl":"https://doi.org/10.1109/TIM.2025.3604149","url":null,"abstract":"Accurate analysis of the electrode/electrolyte interface (EEI) is essential for the design of electrochemical systems, including batteries and bioelectronics. However, conventional electrochemical impedance spectroscopy (EIS), which often relies on equivalent circuit modeling and ideal assumptions, faces difficulties in separating interfacial and bulk contributions, particularly in nonresistive media such as solid electrolytes or biological tissues. In this study, we present the EIS-based transfer length method (EIS-TLM), a technique that decouples interfacial and bulk impedance by analyzing the dependence of impedance on electrode distance. The approach was first validated using a 0.9% NaCl aqueous solution, where EIS-TLM achieved excellent agreement with conventional analysis, with R-squared values of 0.98 (magnitude) and 1.00 (phase) for stainless steel electrodes, and 0.93 (magnitude) and 0.98 (phase) for gold electrodes. EIS-TLM was then applied to a polyethylene oxide (PEO)—LiClO4 solid polymer electrolyte (SPE), which exhibits both resistive and capacitive characteristics. EIS-TLM successfully extracted frequency-dependent dielectric permittivity of the bulk electrolyte, with results showing strong consistency with reported values. These findings demonstrate the robustness and versatility of EIS-TLM for impedance analysis in complex electrochemical systems, particularly those involving solid-state or polymer-based electrolytes.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"74 ","pages":"1-8"},"PeriodicalIF":5.9,"publicationDate":"2025-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145028002","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

Development of a Novel High-Performance Viscosity Testing System Based on PMUTs Array 基于PMUTs阵列的新型高性能粘度测试系统的研制

IF 5.9 2区工程技术

IEEE Transactions on Instrumentation and Measurement Pub Date : 2025-08-29 DOI: 10.1109/TIM.2025.3604116

Chaoshuai Zhang;Fansheng Meng;Guojun Zhang;Renxin Wang;Changde He;Wendong Zhang;Licheng Jia

{"title":"Development of a Novel High-Performance Viscosity Testing System Based on PMUTs Array","authors":"Chaoshuai Zhang;Fansheng Meng;Guojun Zhang;Renxin Wang;Changde He;Wendong Zhang;Licheng Jia","doi":"10.1109/TIM.2025.3604116","DOIUrl":"https://doi.org/10.1109/TIM.2025.3604116","url":null,"abstract":"This work presents the development of a miniaturized ultrasonic liquid viscosity monitoring system based on piezoelectric micromachined ultrasonic transducers (PMUTs) array. The system correlates ultrasonic attenuation coefficients with liquid viscosity by conducting extensive testing on glycerol-deionized water mixtures at varying temperatures and mass fractions. The system demonstrates an error margin within 2% when tested against additional samples, showing comparable performance to conventional viscometers. It requires only a small sample volume, making it suitable for applications like pharmaceutical research, where viscosity is critical to drug release and absorption. The system’s design, incorporating optimized transduction and detection sections, enhances sensitivity while reducing the size of the overall monitoring device. Future developments, including the integration of immersion measurement capabilities, will further improve the system’s practicality and efficiency, making it a promising tool for real-time viscosity monitoring in diverse applications.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"74 ","pages":"1-9"},"PeriodicalIF":5.9,"publicationDate":"2025-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145036219","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

Induced Voltage Noise Compensation Method Based on CWW + CNN-BiLSTM-Attention 基于CWW + CNN-BiLSTM-Attention的感应电压噪声补偿方法

IF 5.9 2区工程技术

IEEE Transactions on Instrumentation and Measurement Pub Date : 2025-08-29 DOI: 10.1109/TIM.2025.3604132

Qing Yan;Yezheng Xiao;Qicai Ni;Longgui Zheng;Teng Wang;Xinxin Zhu;Yu Chen;Yanlan Hu

{"title":"Induced Voltage Noise Compensation Method Based on CWW + CNN-BiLSTM-Attention","authors":"Qing Yan;Yezheng Xiao;Qicai Ni;Longgui Zheng;Teng Wang;Xinxin Zhu;Yu Chen;Yanlan Hu","doi":"10.1109/TIM.2025.3604132","DOIUrl":"https://doi.org/10.1109/TIM.2025.3604132","url":null,"abstract":"Induced voltage noise is a significant source of interference in voltage detection, seriously affecting measurement accuracy and system stability. In the complex electromagnetic environment of the Tokamak system, induced voltage noise can exceed 500 V, posing a great challenge to noise suppression in voltage detection signals. This article presents a two-stage noise compensation approach designed to address the problem. The first stage uses a hardware-based co-wound wire (CWW) primary compensation method, effectively reducing the induced voltage noise from over 500 V to below 10 V. Building on this foundation, the second stage introduces a deep learning model based on CNN-BiLSTM-Attention as the secondary compensation module, which further reduces the residual noise to below 100 mV over a 1-s window. The proposed method was validated through real-time deployment on the Experimental Advanced Superconducting Tokamak (EAST). Experimental results demonstrate that the method not only achieves excellent compensation effect but also preserves the integrity of critical voltage detection signals throughout operation.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"74 ","pages":"1-11"},"PeriodicalIF":5.9,"publicationDate":"2025-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145036813","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

Latent Fault Diagnosis for Liquid Launch Vehicle Using Belief Rule Base With State Miner 基于状态挖掘的信念规则库的液体运载火箭潜在故障诊断

IF 5.9 2区工程技术

IEEE Transactions on Instrumentation and Measurement Pub Date : 2025-08-29 DOI: 10.1109/TIM.2025.3604108

Feng Han;Zhichao Feng;Bo Mo;Ruohan Yang

{"title":"Latent Fault Diagnosis for Liquid Launch Vehicle Using Belief Rule Base With State Miner","authors":"Feng Han;Zhichao Feng;Bo Mo;Ruohan Yang","doi":"10.1109/TIM.2025.3604108","DOIUrl":"https://doi.org/10.1109/TIM.2025.3604108","url":null,"abstract":"A new latent fault diagnosis (FDs) method is developed for a liquid launch vehicle. The proposed method aims to solve three challenges: lack of failure data, limited expert cognition, and new system latent state triggered by faults. As an interpretable method, the belief rule base (BRB) model can both combine the data and knowledge that can solve the first two problems. It provides a basis for FDs of the vehicle. However, when the vehicle fails, its internal mechanism changes, and the new system state may exist. Limited by the output framework of BRB, it cannot detect these latent faults. Hence, a new BRB with state miner (BRB-M) is proposed with an adaptive discernment framework. It can mine the new system states by the combination of output propositions. Then, the traceability analysis of BRB-M is conducted based on the transparency of its modeling process, and the influence of each input characteristic is analyzed quantitatively. To improve the diagnosis accuracy, an optimization model is put forward for BRB-M. To illustrate the performance of the proposed method, an experiment of vehicle is conducted. In the experiment, the diagnosis accuracy is 97.00%, and increases 29.11%, 23.17% compared with the fuzzy theory and BP neural network.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"74 ","pages":"1-11"},"PeriodicalIF":5.9,"publicationDate":"2025-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144998077","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