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Lifetime Reliability Aware Distributed Estimation and Communication Co-Design for IIoT Systems IEEE Trans. Ind. Inform. (IF 11.7) Pub Date : 2024-08-22 Peizhe Li, Cheng Ren, Cailian Chen, Shanying Zhu, Yehan Ma, Xinping Guan
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Distributed Self-Triggered Control of Islanded Microgrids Under Switching Communication Topologies IEEE Trans. Ind. Inform. (IF 11.7) Pub Date : 2024-08-22 Masoud Zare Shahabadi, Hajar Atrianfar, Gevork B. Gharehpetian, Atousa Yazdani
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FPGA Adaptive Neural Network Quantization for Adversarial Image Attack Defense IEEE Trans. Ind. Inform. (IF 11.7) Pub Date : 2024-08-22 Yufeng Lu, Xiaokang Shi, Jianan Jiang, Hanhui Deng, Yanwen Wang, Jiwu Lu, Di Wu
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A Fast Kalman Equalizer for Single-Carrier Underwater Acoustic Communication IEEE Trans. Ind. Inform. (IF 11.7) Pub Date : 2024-08-22 Fei-Yun Wu, Hui-Zhong Yang, Yuehai Zhou, Feng Tong
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Multimodal Fusion With Block Term Decomposition for Asynchronous Federated Learning IEEE Trans. Ind. Inform. (IF 11.7) Pub Date : 2024-08-22 Min Gao, Haifeng Zheng, Mengxuan Du, Xinxin Feng
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Domain Generalization Combining Covariance Loss With Graph Convolutional Networks for Intelligent Fault Diagnosis of Rolling Bearings IEEE Trans. Ind. Inform. (IF 11.7) Pub Date : 2024-08-22 Yan Song, Yibin Li, Lei Jia, Yu Zhang
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Accelerated Matrix Completion-Based State Estimation for Unobservable Distribution Networks IEEE Trans. Ind. Inform. (IF 11.7) Pub Date : 2024-08-21 Yanming Zhu, Xiaoyuan Xu, Zheng Yan
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Informatics-Centric Neural Network for Distributed Energy Resources Against Diverse Cyber Threats IEEE Trans. Ind. Inform. (IF 11.7) Pub Date : 2024-08-21 Tossaporn Surinkaew, Thongchart Kerdphol
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A Wearable, Reconfigurable, and Modular Magnetic Tracking System for Wireless Capsule Robots IEEE Trans. Ind. Inform. (IF 11.7) Pub Date : 2024-08-21 Shijian Su, Sishen Yuan, Zhen Li, Yan Ma, Miaomiao Ma, Hongliang Ren
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An Effective Semantic Segmentation Network With Multipath Attention for Industrial Meter Pointer Images IEEE Trans. Ind. Inform. (IF 11.7) Pub Date : 2024-08-20 Dayu Tan, Jinlong Wang, Yansen Su, Zhijun Zhang, Xin Peng, Chunhou Zheng, Weimin Zhong
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Biomimetic Viscoelastic Compliance Control for Self-Balancing Lower Limb Exoskeleton IEEE Trans. Ind. Inform. (IF 11.7) Pub Date : 2024-08-19 Dingkui Tian, Wanxiang Wang, Feng Li, Ziqiang Chen, Yong He, Jinke Li, Li Zhang, Xinyu Wu
Animals, including humans that have muscles with viscoelastic compliance can achieve improved stability. Hence, we investigate a biomimetic control framework with viscoelastic compliance and subsequently apply it to a self-balancing lower limb exoskeleton robot (SBLLER), to ensure stability during locomotion. This article presents a novel biomimetic viscoelastic compliance control framework (VCCF)
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Multidimensional Design Space Exploration for Evolving Manufacturing Systems: Interplay of Deployment, Topology, and Production Planning Architectural Decisions IEEE Trans. Ind. Inform. (IF 11.7) Pub Date : 2024-08-19 Tarik Terzimehić, Daniel Erler, Alois Zoitl
Optimizing evolving manufacturing systems often requires considering the interplay of various architectural design decisions (ADDs), especially at the lower levels of the automation pyramid. Here, decisions about programmable logic controllers, stations, and shop-floor topology directly impact product characteristics. This necessitates a multidimensional design space exploration (DSE) approach that
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Online Detection and Location Scheme for Aged Cable Segment in MMC-HVDC Systems Based on Admittance Spectrum and Compressed Sensing IEEE Trans. Ind. Inform. (IF 11.7) Pub Date : 2024-08-19 Ziyu Wei, Yang Wu, Qiuqiong Lin, Pinjia Zhang
The rapid development of offshore wind power has led to widespread uses of high-voltage direct current (HVdc) transmission systems with long-distance dc cables. The detection and location of aged cable segment is critical for ensuring overall system reliability. As current researches mainly focus on offline location methods, a novel online detection and location scheme for modular multilevel converter
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System Error Calibration in Large Datasets of Wireless Channel Sounding for Industrial Applications. IEEE Trans. Ind. Inform. (IF 11.7) Pub Date : 2022-01-01 Qi Wang,Richard Candell,Wei Liang,Zhibo Pang
In industrial applications, the large comprehensive wireless channel impulse response (CIR) reference dataset, measured by National Institute of Standards and Technology (NIST), has been a useful tool for understanding propagation within factory environments. The NIST CIR reference dataset is obtained using a precision channel sounder instrument where transmitter and receiver are time-synchronized
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Interactive Grid Interfacing System by Matrix-Converter Based Solid State Transformer with Model Predictive Control IEEE Trans. Ind. Inform. (IF 11.7) Pub Date : 2020-04-01 Yupeng Liu, Yushan Liu, Baoming Ge, Haitham Abu-Rub
The back-to-back connection of two three-to-single-phase matrix converters (MCs) through a high-frequency transformer to create the so called MC-based solid state transformer (SST) for interactive grid interfacing is proposed in this paper. The solution provides single-stage bidirectional ac–ac power conversion. There are advantages of no lifetime-limited storage capacitors, light weight, and compact
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Designing Dynamic and Collaborative Automation and Robotics Software Systems IEEE Trans. Ind. Inform. (IF 11.7) Pub Date : 2019-01-01 Zoran Salcic, Udayanto Dwi Atmojo, Heejong Park, Andrew Tzer-Yeu Chen, Kevin I-Kai Wang
The heterogeneity of execution platforms and operating software in manufacturing machines and robots, as well as various sensors and actuators, creates challenges for integration into larger systems. Existing approaches make use of different types of middleware to mitigate the challenges of designing interoperable systems. However, middleware can significantly impede modular design and composition
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Internet-of-Things Hardware-in-the-Loop Simulation Architecture for Providing Frequency Regulation with Demand Response IEEE Trans. Ind. Inform. (IF 11.7) Pub Date : 2018-11-01 Matsu Thornton, Mahdi Motalleb, Holm Smidt, John Branigan, Pierluigi Siano, Reza Ghorbani
Following recent advances in network infrastructure, cloud computing, and embedded systems, fascinating work is underway exploring the utility of demand response in increasing grid stability while permitting high penetration of intermittent renewable distributed generation resources. Although works have demonstrated diverse theoretical advantages of demand response programs, little real-world data
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Demand-Side Regulation Provision from Industrial Loads Integrated with Solar PV Panels and Energy Storage System for Ancillary Services IEEE Trans. Ind. Inform. (IF 11.7) Pub Date : 2018-11-01 Tat Kei Chau, Samson Shenglong Yu, Tyrone Fernando, Herbert Ho-Ching Iu
Nowadays, enabled by current smart grid technology, electricity consumers can play an active role in providing ancillary service (AS) as a type of demand response. Participating AS can assist stabilizing the power grid by following the frequency regulation signal, or dynamic regulation signal (RegD) in this study while receiving economic benefits. Industrial loads are an indispensable component as
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Rolling Mill Cycloconverter Condition Assessment by Harmonic Current via Time-Frequency Signature IEEE Trans. Ind. Inform. (IF 11.7) Pub Date : 2018-10-01 Timothy Mitchell Thompkins, Do-In Kim, Philip Stone, Yong-June Shin
High-power industrial rolling mills rely heavily on the sustained operation of cycloconverters, a type of variable-frequency drive. This research proposes a methodology, which observes and diagnoses the operation of cycloconverters as either normal or abnormal by use of time–frequency signature analysis. Various features of the cycloconverter's input current in the time–frequency domain are identified
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Learning Collaborative Sparsity Structure via Nonconvex Optimization for Feature Recognition IEEE Trans. Ind. Inform. (IF 11.7) Pub Date : 2018-10-01 Zhaohui Du, Xuefeng Chen, Han Zhang, Ruqiang Yan, Wotao Yin
This paper aims to unveil a collaborative sparsity structure for rigorously describing the universal self-similarity property of mechanical feature information, which is an important task in the field of adaptive feature recognition. The self-similarity pattern among all local feature segments is first highlighted by an elaborately designed partition strategy, and then a row-wise group sparsity penalty
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Finite Set Model Predictive Control Scheme with an Optimal Switching Voltage Vector Technique for High-Performance IPMSM Drive Applications IEEE Trans. Ind. Inform. (IF 11.7) Pub Date : 2018-09-01 Francis Mwasilu, Eun-Kyung Kim, Muhammad Saad Rafaq, Jin-Woo Jung
This paper investigates a high-performance finite-set model predictive control (FS-MPC) based on an optimal switching voltage vector technique for voltage-source inverter (VSI)-fed interior permanent magnet synchronous motor (IPMSM) drives. The proposed algorithm clamps one switch that supplies the largest phase current at each sampling interval while allowing the other two pole switches to remain
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Adaptive Quasi-Optimal Higher Order Sliding Mode Control Without Gain Overestimation IEEE Trans. Ind. Inform. (IF 11.7) Pub Date : 2018-09-01 Peng Li, Xiang Yu, Bing Xiao
This paper presents an adaptive quasi-optimal higher order sliding-mode control (HOSMC) scheme, which is able to avoid gain overestimation. The overall scheme consists of two elements: 1) a quasi-optimal control law that provides fast finite-time stabilization for a chain of integrators; and 2) an adaptive HOSMC with integration of the quasi-optimal control and the integral sliding-mode concept. The
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Design, Verification and Application of New Discrete-Time Recurrent Neural Network for Dynamic Nonlinear Equations Solving IEEE Trans. Ind. Inform. (IF 11.7) Pub Date : 2018-09-01 Dongsheng Guo, Feng Xu, Zexin Li, Zhuoyun Nie, Hui Shao
Recently, the approach based on recurrent neural network (RNN) has been considered a powerful alternative to mathematical problem solving. In this study, a new discrete-time RNN (DTRNN) is proposed and investigated to determine an exact solution of dynamic nonlinear equations. Specifically, the resultant DTRNN model is established for solving dynamic nonlinear equations by utilizing a Taylor-type difference
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CIM-Compliant Power System Dynamic Model-to-Model Transformation and Modelica Simulation IEEE Trans. Ind. Inform. (IF 11.7) Pub Date : 2018-09-01 Francisco J. Gomez, Luigi Vanfretti, Svein Harald Olsen
European regulations on information exchange have put new requirements on analysis tools, the main one being the adoption of the International Electrotechnical Commission common information model (CIM) that may help interoperability across applications. This paper proposes the use of model-driven software engineering methods to meet these new requirements. Specifically, this paper shows how to apply
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Mind Control of A Robotic Arm with Visual Fusion Technology IEEE Trans. Ind. Inform. (IF 11.7) Pub Date : 2018-09-01 Chenguang Yang, Huaiwei Wu, Zhijun Li, Wei He, Ning Wang, Chun-Yi Su
This paper reports the development of an intelligent shared control system for a robotic manipulator that is commanded by the user's mind. The target objects are detected by a vision system and then displayed to the user in a video that shows them fused with flicking diamonds that are designed to excite electroencephalograph (EEG) signals at different frequency bands. Through the analysis of the invoked
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A Novel Multiplex Network-based Sensor Information Fusion Model and Its Application to Industrial Multiphase Flow System IEEE Trans. Ind. Inform. (IF 11.7) Pub Date : 2018-09-01 Zhongke Gao, Weidong Dang, Chaoxu Mu, Yuxuan Yang, Shan Li, Celso Grebogi
Increasingly advanced technology allows the monitoring of complex systems from a wide variety of perspectives. But the exploration of such systems from a multichannel sensor information viewpoint remains a complicated challenge of ongoing interest. In this paper, first, based on a well-designed double-layer distributed-sector conductance (DLDSC) sensor, systematic oil–water and gas–liquid two-phase
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An ADMM-based Distributed Algorithm for Economic Dispatch in Islanded Microgrids IEEE Trans. Ind. Inform. (IF 11.7) Pub Date : 2018-09-01 Gang Chen, Qing Yang
In this paper, based on an alternating direction method of multipliers (ADMM), a novel distributed algorithm is proposed to address the economic dispatch problem (EDP) in islanded microgrids. Unlike most of the existing studies that investigate the EDP with quadratic cost functions, the algorithm proposed in this paper is able to solve the EDP with general convex cost functions. Moreover, by using
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An intelligent analytics system for real-time catchment regulation and water management IEEE Trans. Ind. Inform. (IF 11.7) Pub Date : 2018-09-01 Ioan Petri, Baris Yuce, Alan Kwan, Yacine Rezgui
Regulation procedures and water management that incorporate projected hydrological changes with related uncertainties become extremely important in order to prevent degradation of water ecosystems. Ensuring real time water management and optimization becomes mandatory for resolving the constraints of water supply/demand and to comply with biodiversity requirements. We focus our research on water optimization
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Three Layer Bayesian Network for Classification of Complex Power Quality Disturbances IEEE Trans. Ind. Inform. (IF 11.7) Pub Date : 2018-09-01 Yi Luo, Kaicheng Li, Yuanzheng Li, Delong Cai, Chen Zhao, Qingxu Meng
In this paper, a new classification approach for detection and classification of complex power quality disturbances (PQDs) using a three-level multiply connected Bayesian network is proposed. First, the model consisting of features evidence layer, disturbances state layer, and circumstance evidence layer is established, which represent the features extracted from the sample signal, the state of each
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Secondary Restoration Control of Islanded Microgrids With Decentralized Event-triggered Strategy IEEE Trans. Ind. Inform. (IF 11.7) Pub Date : 2018-09-01 Meng Chen, Xiangning Xiao, Josep M. Guerrero
Distributed cooperative control methods attract more and more attention in microgrid secondary control because they are more reliable and flexible. However, the traditional methods rely on the periodic communication, which is neither economic nor efficient due to its large communication burden. In this paper, an event-triggered-approach-based distributed control strategy is used to deal with the secondary
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Distributed Coordination of Islanded Microgrid Clusters Using a Two-layer Intermittent Communication Network IEEE Trans. Ind. Inform. (IF 11.7) Pub Date : 2018-09-01 Xiaoqing Lu, Jingang Lai, Xinghuo Yu, Yaonan Wang, Josep M. Guerrero
This paper proposes a distributed hierarchical cooperative control strategy for a cluster of islanded microgrids (MGs) with intermittent communication, which can regulate the frequency/voltage of all distributed generators (DGs) within each MG as well as ensure the active/reactive power sharing among MGs. A droop-based distributed secondary control scheme and a distributed tertiary control scheme are
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Cyber-Physical Energy-Saving Control for Hybrid Aircraft-Towing Tractor based on Online Swarm Intelligent Programming IEEE Trans. Ind. Inform. (IF 11.7) Pub Date : 2018-09-01 Quan Zhou, Yunfan Zhang, Ziyang Li, Ji Li, Hongming Xu, Oluremi Olatunbosun
This paper researches on a cyber-physical energy-saving control framework for a plug-in hybrid aircraft-towing tractor, in which, an online optimization methodology named the online swarm intelligent programming (OSIP) is proposed. The new methodology obtains real-time optimal control signals from the vehicle to everything (V2X) network, and the widely used charge depleting/charge sustaining strategy
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Quantized Static Output Feedback Control For Discrete-Time Systems IEEE Trans. Ind. Inform. (IF 11.7) Pub Date : 2018-08-01 Xiao-Heng Chang, Jun Xiong, Zhi-Min Li, Ju H. Park
This paper investigates the problem of output feedback control for discrete-time systems with two quantized signals in measurement output and control input. Since the measurement output and control input are quantized by general quantizers before they are passed to the controller and the system, the closed-loop system will include the quantization error terms, which might lead to that the performance
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Ladle furnace slag characterization through hyperspectral reflectance regression model for secondary metallurgy process optimization IEEE Trans. Ind. Inform. (IF 11.7) Pub Date : 2018-08-01 Artzai Picon, Asier Vicente, Sergio Rodriguez-Vaamonde, Jorge Armentia, Jose Antonio Arteche, Inaki Macaya
In steelmaking process, close control of slag evolution is as important as control of steel composition. However, to date, there are no industrially consolidated techniques that allow us fast and in-situ analysis of the chemical composition of the slag, as in the case of steel with optical emission spectrometer spectrometers. In this work, a method to analyze spectral reflectance of ladle furnace slag
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A Robust Time Synchronization Scheme for Industrial Internet of Things IEEE Trans. Ind. Inform. (IF 11.7) Pub Date : 2018-08-01 Tie Qiu, Yushuang Zhang, Daji Qiao, Xiaoyun Zhang, Mathew L. Wymore, Arun Kumar Sangaiah
Energy-efficient and robust-time synchronization is crucial for industrial Internet of things (IIoT). Some energy-efficient time synchronization schemes that achieve high accuracy have been proposed recently. However, some unsynchronized nodes namely isolated nodes exist in the schemes. To deal with the problem, this paper presents R-Sync, a robust time synchronization scheme for IIoT. We use a pulling
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A Resilient Power Fingerprinting Selection Mechanism of Device Load Recognition for Trusted Industrial Internet of Things IEEE Trans. Ind. Inform. (IF 11.7) Pub Date : 2018-08-01 Chin-Feng Lai, Shih-Yeh Chen, Ren-Hung Hwang
In order to monitor the stability of industrial systems, engineers installed diversified sensors in systems, and used communication devices to transfer the sensed data to the cloud platform for real-time monitoring and event detection. Furthermore, as industry demand for power grows, the scale and quantity of power systems gradually increase, and the original network data transmission architecture
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A Robust ECC based Provable Secure Authentication Protocol with Privacy Protection for Industrial Internet of Things IEEE Trans. Ind. Inform. (IF 11.7) Pub Date : 2018-08-01 Xiong Li, Jianwei Niu, Md Zakirul Alam Bhuiyan, Fan Wu, Marimuthu Karuppiah, Saru Kumari
Wireless sensor networks (WSNs) play an important role in the industrial Internet of Things (IIoT) and have been widely used in many industrial fields to gather data of monitoring area. However, due to the open nature of wireless channel and resource-constrained feature of sensor nodes, how to guarantee that the sensitive sensor data can only be accessed by a valid user becomes a key challenge in IIoT
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Lightweight Break-glass Access Control System for Healthcare Internet-of-Things IEEE Trans. Ind. Inform. (IF 11.7) Pub Date : 2018-08-01 Yang Yang, Ximeng Liu, Robert H. Deng
Healthcare Internet-of-things (IoT) has been proposed as a promising means to greatly improve the efficiency and quality of patient care. Medical devices in healthcare IoT measure patients’ vital signs and aggregate these data into medical files which are uploaded to the cloud for storage and accessed by healthcare workers. To protect patients’ privacy, encryption is normally used to enforce access
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Certificateless Public Key Authenticated Encryption with Keyword Search for Industrial Internet of Things IEEE Trans. Ind. Inform. (IF 11.7) Pub Date : 2018-08-01 Debiao He, Mimi Ma, Sherali Zeadally, Neeraj Kumar, Kaitai Liang
Industrial Internet of Things (IIoT) integrates various types of intelligent terminals, mobile devices, and communication technologies to enable the upgrade of traditional industries to intelligent industries. IIoT relies on the powerful data processing capabilities of cloud computing to reduce the cost of various on-demand services as per the requirements of users. However, the privacy and confidentiality
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Location Privacy Protection based on Differential Privacy Strategy for Big Data in Industrial Internet-of-Things IEEE Trans. Ind. Inform. (IF 11.7) Pub Date : 2018-08-01 Chunyong Yin, Jinwen Xi, Ruxia Sun, Jin Wang
In the research of location privacy protection, the existing methods are mostly based on the traditional anonymization, fuzzy and cryptography technology, and little success in the big data environment, for example, the sensor networks contain sensitive information, which is compulsory to be appropriately protected. Current trends, such as “Industrie 4.0” and Internet of Things (IoT), generate, process
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Classification of Non-ferrous Metals using Magnetic Induction Spectroscopy IEEE Trans. Ind. Inform. (IF 11.7) Pub Date : 2018-08-01 Michael D. O'Toole, Noushin Karimian, Anthony J. Peyton
Recycling automotive, electronic, and other end-of-life waste liberates large quantities of metals, which can be returned to the supply chain. Sorting the nonferrous metals, however, is not straightforward. Common methods range from laborious hand-sorting to expensive and environmentally deleterious wet processes. The goal is to move toward dry processes, such as induction sensors and vision systems
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Fuzzy Logic Based FOGI-FLL Algorithm for Optimal Operation of Single Stage Three Phase Grid Interfaced Multifunctional SECS IEEE Trans. Ind. Inform. (IF 11.7) Pub Date : 2018-08-01 Priyank Shah, Ikhlaq Hussain, Bhim Singh
This paper presents a fuzzy-logic-based fourth-order generalized integrator (FOGI) frequency locked loop (FLL) based control for optimal operation of solar energy conversion system (SECS) having distribution static compensator (DSTATCOM) capabilities along with supplying active power to the distribution network. The proposed SECS is multifunctional having capabilities of power factor correction, load
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An Optimal Communications Protocol for Maximizing Lifetime of Railway Infrastructure Wireless Monitoring Network IEEE Trans. Ind. Inform. (IF 11.7) Pub Date : 2018-08-01 Xiaoping Ma, Honghui Dong, Xiang Liu, Limin Jia, Guo Xie, Zheyong Bian
A wireless monitoring network is an effective way to monitor and transmit information about railway infrastructure conditions. Its lifetime is significantly affected by the energy usage among all sensors. This paper proposes a novel cluster-based valid lifetime maximization protocol (CVLMP) to extend the lifetime of the network. In the CVLMP, the cluster heads (CHs) are selected and rotated with the
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Lightweight Searchable Public-key Encryption for Cloud-assisted Wireless Sensor Networks IEEE Trans. Ind. Inform. (IF 11.7) Pub Date : 2018-08-01 Peng Xu, Shuanghong He, Wei Wang, Willy Susilo, Hai Jin
The industrial Internet of Things is flourishing, which is unprecedentedly driven by the rapid development of wireless sensor networks (WSNs) with the assistance of cloud computing. The new wave of technology will give rise to new risks to cyber security, particularly the data confidentiality in cloud-assisted WSNs (CWSNs). Searchable public-key encryption (SPE) is a promising method to address this
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Fast Convergence Cooperative Dynamic Spectrum Access for Cognitive Radio Networks IEEE Trans. Ind. Inform. (IF 11.7) Pub Date : 2018-08-01 Tapiwa Moses Chiwewe, Gerhard Petrus Hancke
Cognitive radio and dynamic spectrum access can reform the way that radiofrequency spectrum is accessed. Problems of spectrum scarcity, coexistence, and unreliable wireless communication that affect industrial wireless networks can be addressed. In this paper, a game theoretic dynamic spectrum access algorithm that improves upon on a hedonic coalition formation algorithm for spectrum sensing and access
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Microgrid State Estimation: A Distributed Approach IEEE Trans. Ind. Inform. (IF 11.7) Pub Date : 2018-08-01 Md. Masud Rana, Li Li, Steven W. Su, Wei Xiang
The distribution power subsystems are usually interconnected to each other, so the design of the interconnected optimal filtering algorithm for distributed state estimation is a challenging task. Driven by this motivation, this paper proposes a novel consensus filter based dynamic state estimation algorithm with its convergence analysis for modern power systems. The novelty of the scheme is that the
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Efficient Scheduling of Non-Preemptive Appliances for Peak Load Optimization in Smart Grid IEEE Trans. Ind. Inform. (IF 11.7) Pub Date : 2018-08-01 Nilotpal Chakraborty, Arijit Mondal, Samrat Mondal
Existing electrical grid systems have a limited amount of real-time monitoring and controlling capabilities of energy generation and consumption facilities, which trigger various technical issues including voltage overloading, demand–supply mismatch, peak load consumption, etc. Some of the primary reasons for these key issues have been identified to be the inefficient utilization of energy infrastructure
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Operating Parameters Optimization for the Aluminum Electrolysis Process Using an Improved Quantum-behaved Particle Swarm Algorithm IEEE Trans. Ind. Inform. (IF 11.7) Pub Date : 2018-08-01 Jun Yi, Junren Bai, Wei Zhou, Haibo He, Lizhong Yao
Improvements in the production and energy consumption of the aluminum electrolysis process (AEP) directly depend on the operating parameters of the electrolytic cell. To balance the conflicting goals of efficiency and productivity with reduced energy consumption and emissions, AEP operating parameter optimization is formulated as a constrained multiobjective optimization problem with competing objectives
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Blend Arithmetic Operations on Tensor-based Fully Homomorphic Encryption Over Real Numbers IEEE Trans. Ind. Inform. (IF 11.7) Pub Date : 2018-08-01 Keke Gai, Meikang Qiu
Recent booming growth of networking-based solutions have brought numerous challenges to security and privacy from both perspectives of insider and outsider threats. The encrypted data are relatively considered a safe storage status; however, the process of encrypting data is still facing adversarial actions and data process generally is inapplicable over ciphertexts. As a type of the encryption approach
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New Discretization Formula Based Zeroing Dynamics for Real-Time Tracking Control of Serial and Parallel Manipulators IEEE Trans. Ind. Inform. (IF 11.7) Pub Date : 2018-08-01 Jian Li, Yunong Zhang, Shuai Li, Mingzhi Mao
Improvement of the real-time performance of tracking control is increasingly desirable. It is a routine for most conventional algorithms that the control input at current time instant is to track the current desired output. However, lagging errors resulting from computational time and the fluctuation of the desired output exist for the tracking control. Different from conventional algorithms, a look-ahead
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Agglomerative Clustering Based Network Partitioning for Parallel Power System Restoration IEEE Trans. Ind. Inform. (IF 11.7) Pub Date : 2018-08-01 Nuwan Ganganath, Jing V. Wang, Xinzhi Xu, Chi-Tsun Cheng, Chi K. Tse
After a blackout, it is essential to restore the blackout area rapidly to minimize possible losses. In parallel restoration, the blackout area is first partitioned into several subsystems, which will then be restored in parallel to accelerate the restoration process. In order to ensure restoration reliability, each subsystem should have enough generation power and satisfy a set of constraints before
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A Novel Cloud-Based Advanced Distribution Management System Solution IEEE Trans. Ind. Inform. (IF 11.7) Pub Date : 2018-08-01 Nemanja D. Popovic, Dragan S. Popovic, Ivan Seskar
This paper proposes a novel advanced distribution management system (ADMS) solution based on a common operation technology platform implemented on a cloud infrastructure. It introduces a virtualization methodology that is used to transition and deploy a traditional, monolithic ADMS in a cloud environment. First, typical ADMS functional blocks (FBs) are identified and their performance is evaluated
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A Self-Reliant DC microgrid: Sizing, Control, Adaptive Dynamic Power Management and Experimental Analysis IEEE Trans. Ind. Inform. (IF 11.7) Pub Date : 2018-08-01 Bonu Ramesh Naidu, Gayadhar Panda, Pierluigi Siano
This paper presents an adaptive power management and control for a self-reliant dc microgrid powered by photovoltaic (PV) array and fuel cell stack that is escorted with the supercapacitor- and electrolyzer-based hybrid energy storage device. The prime operational impediments associated with this dc microgrid are the unpredictable variations in the PV generation and load demand, fuel starvation phenomenon
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White Rabbit HSR: a seamless sub-nanosecond redundant timing system with low-latency data capabilities for Smart Grid IEEE Trans. Ind. Inform. (IF 11.7) Pub Date : 2018-08-01 Jose Luis Gutierrez-Rivas, Jose Lopez-Jimenez, Eduardo Ros, Javier Diaz
New smart grid and industrial-Internet-of-things (IIoT) directions require accurate synchronization features to capture, trigger, and manage events in industrial networks with the best possible precision and accuracy. The implementation of redundancy features for time and data distribution to increase fault tolerance, together with an enhancement of the availability of the network services such as
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Feasibility of Wrist-worn, Real-time Hand and Surface Gesture Recognition via sEMG and IMU Sensing IEEE Trans. Ind. Inform. (IF 11.7) Pub Date : 2018-08-01 Shuo Jiang, Bo Lv, Weichao Guo, Chao Zhang, Haitao Wang, Xinjun Sheng, Peter B. Shull
While most wearable gesture recognition approaches focus on the forearm or fingers, the wrist may be a more suitable location for practical use. We present the design and validation of a real-time gesture recognition wristband based on surface electromyography and inertial measurement unit sensing fusion, which can recognize 8 air gestures and 4 surface gestures with 2 distinct force levels. Ten healthy
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Multi-objective Sizing Optimization for Island Microgrids Using Triangular Aggregation Model and Levy-Harmony Algorithm IEEE Trans. Ind. Inform. (IF 11.7) Pub Date : 2018-08-01 Peng Li, Rong-Xi Li, Yuan Cao, Dan-Yong Li, Guo Xie
Optimization of island microgrids should configure the module type and size in such a way that multiple objectives can be balanced. This paper presents a bioinspired optimization approach of microgrid sizing, with two salient features. First, the multiple objectives are categorized into four types: reliability, economy, renewable technology, and pollution. We present a triangular aggregation model
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Privacy-Preserving Authentication and Key Agreement Protocols for D2D Group Communications IEEE Trans. Ind. Inform. (IF 11.7) Pub Date : 2018-08-01 Mingjun Wang, Zheng Yan
Device-to-Device (D2D) communications play a key role in the next generation mobile communication networks and wireless systems (5G) and the Internet of Things ecosystem. D2D group communications are significant for group based services. In spite of its benefits, new application scenarios and new system architecture expose the D2D group communications to unique security threats. Although there are
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Towards uBPMN-Based Patterns for Modeling Ubiquitous Business Processes IEEE Trans. Ind. Inform. (IF 11.7) Pub Date : 2018-08-01 Alaaeddine Yousfi, Marcin Hewelt, Christine Bauer, Mathias Weske
Ubiquitous business processes are the new generation of processes that pervade the physical space and interact with their environments using a minimum of human involvement. Although they are now widely deployed in the industry, their deployment is still ad hoc. They are implemented after an arbitrary modeling phase or no modeling phase at all. The absence of a solid modeling phase backing up the implementation
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Distributed Dynamic State Estimation of Power Systems IEEE Trans. Ind. Inform. (IF 11.7) Pub Date : 2018-08-01 Mohammadali Rostami, Saeed Lotfifard
In this paper, a novel distributed dynamic state estimation (DSE) method for real-time monitoring of power systems is implemented. In modern large-scale power grids, the number of deployed meters and the frequency of collecting data have remarkably increased. Such a growth in the spatiotemporal size of collected data overwhelms the existing monitoring system with a centralized star structure. Streaming
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Levenberg-Marquardt Backpropagation Training of Multilayer Neural Networks for State Estimation of A Safety Critical Cyber-Physical System IEEE Trans. Ind. Inform. (IF 11.7) Pub Date : 2018-08-01 Chen Lv, Yang Xing, Junzhi Zhang, Xiaoxiang Na, Yutong Li, Teng Liu, Dongpu Cao, Fei-Yue Wang
As an important safety-critical cyber-physical system (CPS), the braking system is essential to the safe operation of the electric vehicle. Accurate estimation of the brake pressure is of great importance for automotive CPS design and control. In this paper, a novel probabilistic estimation method of brake pressure is developed for electrified vehicles based on multilayer artificial neural networks