IEEE Transactions on Industrial Informatics最新文献

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Resilient Multirobot Target Tracking Under Byzantine Attacks: A Trust-Based Distributed Unknown Input Filter Method 拜占庭攻击下弹性多机器人目标跟踪:一种基于信任的分布式未知输入滤波方法
IF 12.3 1区 计算机科学
IEEE Transactions on Industrial Informatics Pub Date : 2026-10-02 DOI: 10.1109/tii.2026.3727036
Jia-Nan Zhang, Qingjie Wang, An-Yang Lu, Yu-Kai Fu
{"title":"Resilient Multirobot Target Tracking Under Byzantine Attacks: A Trust-Based Distributed Unknown Input Filter Method","authors":"Jia-Nan Zhang, Qingjie Wang, An-Yang Lu, Yu-Kai Fu","doi":"10.1109/tii.2026.3727036","DOIUrl":"https://doi.org/10.1109/tii.2026.3727036","url":null,"abstract":"","PeriodicalId":13301,"journal":{"name":"IEEE Transactions on Industrial Informatics","volume":"3 1","pages":""},"PeriodicalIF":12.3,"publicationDate":"2026-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149086670","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Fuzzy-Augmented Random Vector Functional Link Networks for Industrial Process Soft Sensor 工业过程软传感器的模糊增强随机向量函数链路网络
IF 12.3 1区 计算机科学
IEEE Transactions on Industrial Informatics Pub Date : 2026-10-02 DOI: 10.1109/tii.2026.3735073
Zhaochang Li, Taoyan Zhao, Jinna Li, Zhe Kan
{"title":"Fuzzy-Augmented Random Vector Functional Link Networks for Industrial Process Soft Sensor","authors":"Zhaochang Li, Taoyan Zhao, Jinna Li, Zhe Kan","doi":"10.1109/tii.2026.3735073","DOIUrl":"https://doi.org/10.1109/tii.2026.3735073","url":null,"abstract":"","PeriodicalId":13301,"journal":{"name":"IEEE Transactions on Industrial Informatics","volume":"53 1","pages":""},"PeriodicalIF":12.3,"publicationDate":"2026-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149086665","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Adversarial Attacks Against Consensus-Based Collaborative Anomaly Detection Systems 针对基于共识的协同异常检测系统的对抗性攻击
IF 12.3 1区 计算机科学
IEEE Transactions on Industrial Informatics Pub Date : 2026-10-02 DOI: 10.1109/tii.2026.3735063
Iman H. Meskini, Rodrigo Roman Castro, Cristina Alcaraz, Javier Lopez
{"title":"Adversarial Attacks Against Consensus-Based Collaborative Anomaly Detection Systems","authors":"Iman H. Meskini, Rodrigo Roman Castro, Cristina Alcaraz, Javier Lopez","doi":"10.1109/tii.2026.3735063","DOIUrl":"https://doi.org/10.1109/tii.2026.3735063","url":null,"abstract":"","PeriodicalId":13301,"journal":{"name":"IEEE Transactions on Industrial Informatics","volume":"35 1","pages":""},"PeriodicalIF":12.3,"publicationDate":"2026-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149086669","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
An Interval Type-2 Fuzzy Broad Stochastic Configuration Network for Industrial Data Analysis 用于工业数据分析的区间型2模糊广义随机配置网络
IF 12.3 1区 计算机科学
IEEE Transactions on Industrial Informatics Pub Date : 2026-10-02 DOI: 10.1109/tii.2026.3734633
Jingcheng Guo, Zhou Zheng, Zhe Dong, Aijun Yan
{"title":"An Interval Type-2 Fuzzy Broad Stochastic Configuration Network for Industrial Data Analysis","authors":"Jingcheng Guo, Zhou Zheng, Zhe Dong, Aijun Yan","doi":"10.1109/tii.2026.3734633","DOIUrl":"https://doi.org/10.1109/tii.2026.3734633","url":null,"abstract":"","PeriodicalId":13301,"journal":{"name":"IEEE Transactions on Industrial Informatics","volume":"20 1","pages":""},"PeriodicalIF":12.3,"publicationDate":"2026-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149086667","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Hierarchical Graph Neural Network for Probabilistic Power Flow With Grid Topology Contingencies 具有网格拓扑关联的概率潮流的层次图神经网络
IF 12.3 1区 计算机科学
IEEE Transactions on Industrial Informatics Pub Date : 2026-10-02 DOI: 10.1109/tii.2026.3734758
Jinbao Wang, Jun Liu, Shiliang Zhang, Xuehui Ma, Lin Yan, Haolin Liu, Sabita Maharjan
{"title":"Hierarchical Graph Neural Network for Probabilistic Power Flow With Grid Topology Contingencies","authors":"Jinbao Wang, Jun Liu, Shiliang Zhang, Xuehui Ma, Lin Yan, Haolin Liu, Sabita Maharjan","doi":"10.1109/tii.2026.3734758","DOIUrl":"https://doi.org/10.1109/tii.2026.3734758","url":null,"abstract":"","PeriodicalId":13301,"journal":{"name":"IEEE Transactions on Industrial Informatics","volume":"31 1","pages":""},"PeriodicalIF":12.3,"publicationDate":"2026-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149086668","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Fault-Tolerant Control for Redundant Manipulators via Feasible Space Expansion Strategy: A Dynamic Desensitization Approach 基于可行空间展开策略的冗余机械臂容错控制:一种动态脱敏方法
IF 12.3 1区 计算机科学
IEEE Transactions on Industrial Informatics Pub Date : 2026-10-02 DOI: 10.1109/tii.2026.3728132
Huanwei Zhang, Zhuliang Yu, Zhenghui Gu, Siyuan Chen
{"title":"Fault-Tolerant Control for Redundant Manipulators via Feasible Space Expansion Strategy: A Dynamic Desensitization Approach","authors":"Huanwei Zhang, Zhuliang Yu, Zhenghui Gu, Siyuan Chen","doi":"10.1109/tii.2026.3728132","DOIUrl":"https://doi.org/10.1109/tii.2026.3728132","url":null,"abstract":"","PeriodicalId":13301,"journal":{"name":"IEEE Transactions on Industrial Informatics","volume":"62 1","pages":""},"PeriodicalIF":12.3,"publicationDate":"2026-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149086457","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Physics-Informed Distributed Model Predictive Control for Thermally Aware Energy Management in Hyperscale Artificial Intelligence Data Centers 超大规模人工智能数据中心热感知能源管理的物理信息分布式模型预测控制
IF 12.3 1区 计算机科学
IEEE Transactions on Industrial Informatics Pub Date : 2026-10-02 DOI: 10.1109/tii.2026.3733615
Mohamed S. Taha, Yasser A.-R. I. Mohamed
{"title":"Physics-Informed Distributed Model Predictive Control for Thermally Aware Energy Management in Hyperscale Artificial Intelligence Data Centers","authors":"Mohamed S. Taha, Yasser A.-R. I. Mohamed","doi":"10.1109/tii.2026.3733615","DOIUrl":"https://doi.org/10.1109/tii.2026.3733615","url":null,"abstract":"","PeriodicalId":13301,"journal":{"name":"IEEE Transactions on Industrial Informatics","volume":"35 1","pages":""},"PeriodicalIF":12.3,"publicationDate":"2026-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149086455","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Safe Robotic Operation via Knowledge-Driven Lightweight LLM With Adaptive Dual-Mode Grasping 基于知识驱动的轻型LLM自适应双模抓取的机器人安全操作
IF 12.3 1区 计算机科学
IEEE Transactions on Industrial Informatics Pub Date : 2026-10-02 DOI: 10.1109/tii.2026.3733629
Youjun Li, Yuzhe Li, Ran Chen
{"title":"Safe Robotic Operation via Knowledge-Driven Lightweight LLM With Adaptive Dual-Mode Grasping","authors":"Youjun Li, Yuzhe Li, Ran Chen","doi":"10.1109/tii.2026.3733629","DOIUrl":"https://doi.org/10.1109/tii.2026.3733629","url":null,"abstract":"","PeriodicalId":13301,"journal":{"name":"IEEE Transactions on Industrial Informatics","volume":"10 1","pages":""},"PeriodicalIF":12.3,"publicationDate":"2026-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149086666","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Digital Twin for Multitimescale Economic Dispatch in Cyber-Physical Energy Systems 信息物理能源系统中多时间尺度经济调度的数字孪生
IF 9.8 1区 计算机科学
IEEE Transactions on Industrial Informatics Pub Date : 2026-10-01 Epub Date: 2026-06-11 DOI: 10.1109/TII.2026.3699131
Jiaqi Tian;Bonan Huang;Tianyi Li;David Wenzhong Gao;Zhongming Yao;Yumeng Song;Yushuai Li
{"title":"Digital Twin for Multitimescale Economic Dispatch in Cyber-Physical Energy Systems","authors":"Jiaqi Tian;Bonan Huang;Tianyi Li;David Wenzhong Gao;Zhongming Yao;Yumeng Song;Yushuai Li","doi":"10.1109/TII.2026.3699131","DOIUrl":"https://doi.org/10.1109/TII.2026.3699131","url":null,"abstract":"Cyber-physical energy systems (CPESs) involve multitimescale decision-making to balance short- and long-term dispatch requirements. However, existing distributed economic dispatch methods typically emphasize either short-term optimality or long-term predictive capability but rarely achieve both simultaneously. To address this issue, we propose a digital twin (DT)-empowered framework, model, and method for multitimescale economic dispatch (MTED) in CPESs. First, we design a two-layer MTED framework that integrates a physical layer and a DT layer. The DT layer consists of individual DTs, which serve as virtual replicas of the physical components in the physical layer, and a federated DT that coordinates the interactions among these individual DTs. Second, we formulate the MTED problem in CPESs as a complex optimization problem that involves both nonconvex and convex decision variables, related to long and short timescales, respectively. Third, we propose a federated MuZero-Newton-descent method to solve the MTED problem. By using this method, we can make the short-term optimal decision while ensuring long-term predictive capability for planning. Finally, simulations demonstrate the effectiveness of the proposed method.","PeriodicalId":13301,"journal":{"name":"IEEE Transactions on Industrial Informatics","volume":"22 10","pages":"9325-9336"},"PeriodicalIF":9.8,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149097127","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
PurifyFD: Mining Latent Domains for Trustworthy Single-Domain Fault Diagnosis Under Open-World Shifts PurifyFD:开放世界变换下可信赖单域故障诊断的潜在域挖掘
IF 9.8 1区 计算机科学
IEEE Transactions on Industrial Informatics Pub Date : 2026-10-01 Epub Date: 2026-06-12 DOI: 10.1109/TII.2026.3696400
Bowen Yu;Zhonglei Shen;Donghai Han;Shaocheng Kong;Zhibin Zhao;Liuyang Zhang;Ruqiang Yan;Xuefeng Chen
{"title":"PurifyFD: Mining Latent Domains for Trustworthy Single-Domain Fault Diagnosis Under Open-World Shifts","authors":"Bowen Yu;Zhonglei Shen;Donghai Han;Shaocheng Kong;Zhibin Zhao;Liuyang Zhang;Ruqiang Yan;Xuefeng Chen","doi":"10.1109/TII.2026.3696400","DOIUrl":"https://doi.org/10.1109/TII.2026.3696400","url":null,"abstract":"Single-domain generalization (SDG) is critical for Industrial Internet of Things edge scenarios where only limited single-source data are available. Existing SDG approaches predominantly rely on generative models or heavy augmentation to synthesize auxiliary domains, which often introduce unrealistic artifacts and training instability. In contrast, we articulate that single-source industrial data inherently contain latent nonstationarities (e.g., temporal drifts) that can be mined rather than synthesized. Based on this insight, we propose <italic>PurifyFD</i>, a trustworthy and edge-efficient framework that reframes SDG as a feature purification problem. Specifically, we devise a closed-loop max–min adversarial game: the maximization step automatically amplifies the worst-case discrepancies of mined latent domains, while the minimization step suppresses feature sensitivity to these shifts via spatiotemporal disentanglement. This process yields purified representations with high intra-class compactness and shift-invariance. Rather than relying on heavy auxiliary out-of-distribution modules, the resulting compact representation naturally supports lightweight parameter-free energy scoring for more reliable open-set rejection in edge deployment. Extensive experiments on case western reserve university (CWRU), JNU, and a dual-testbed dataset demonstrate that PurifyFD achieves a favorable trade-off among cross-domain accuracy, open-set reliability, and inference efficiency compared to state-of-the-art representative methods.","PeriodicalId":13301,"journal":{"name":"IEEE Transactions on Industrial Informatics","volume":"22 10","pages":"8895-8906"},"PeriodicalIF":9.8,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149097249","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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