# IEEE Transactions on Industrial Informatics

## Volume 14 Issue 5 • May 2018

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## Filter Results

Displaying Results 1 - 25 of 53

Publication Year: 2018, Page(s):C1 - 1801
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• ### IEEE Industrial Electronics Society

Publication Year: 2018, Page(s): C2
| PDF (53 KB)
• ### Identification of Black Plastics Based on Fuzzy RBF Neural Networks: Focused on Data Preprocessing Techniques Through Fourier Transform Infrared Radiation

Publication Year: 2018, Page(s):1802 - 1813
Cited by:  Papers (2)
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The performance enhancement of system identification of various plastic materials to effectively recycle the waste plastics arises as a key issue studied here. For black plastics, which contain carbon black, one is unable to discriminate it from other materials. To facilitate the identification process, Fourier transform-infrared with attenuated total reflectance is used to carry out qualitative a... View full abstract»

• ### Distributed Model-Based Control and Scheduling for Load Frequency Regulation of Smart Grids Over Limited Bandwidth Networks

Publication Year: 2018, Page(s):1814 - 1823
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An integrated model-based control and scheduling scheme is proposed for the load frequency control (LFC) of large-scale power systems under the distributed structure and uncertainties. Specifically, the limited bandwidth constraint is considered when state observation is exchanged over shared communication networks. Each area controller uses the explicit models of its own and neighboring areas to ... View full abstract»

• ### Complex-Coefficient Complex-Variable Filter for Grid Synchronization Based on Linear Quadratic Regulation

Publication Year: 2018, Page(s):1824 - 1834
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Advanced digital filter is important for grid voltage synchronization, harmonic information extraction, and converter control. The complex variable filter (CVF) such as the reduced order generalized integrator is one of the most prevalent filters. However, it is proven in this paper that the real coefficient CVF achieves performance identical to the real variable filter such as the second-order ge... View full abstract»

• ### Hybrid Control of High-Efficient Resonant Converter for Renewable Energy System

Publication Year: 2018, Page(s):1835 - 1845
Cited by:  Papers (1)
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This paper presents the hybrid control of a dc-dc resonant converter for a dc micro-grid. The hybrid control is the simultaneous variation of the frequency and the duty ratio, which can provide excellent voltage regulation and maintain zero-voltage switching (ZVS) over a wide load range. Hence, excellent conversion efficiency is also maintained over the wide load range using hybrid control. Howeve... View full abstract»

• ### Received Signal Strength Based Indoor Positioning Using a Random Vector Functional Link Network

Publication Year: 2018, Page(s):1846 - 1855
Cited by:  Papers (1)
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Fingerprinting based indoor positioning system is gaining more research interest under the umbrella of location-based services. However, existing works have certain limitations in addressing issues such as noisy measurements, high computational complexity, and poor generalization ability. In this work, a random vector functional link network based approach is introduced to address these issues. In... View full abstract»

• ### A Fused Load Curve Clustering Algorithm Based on Wavelet Transform

Publication Year: 2018, Page(s):1856 - 1865
Cited by:  Papers (1)
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The electricity load data recorded by smart meters contain plenty of knowledge that contributes to obtaining load patterns and consumer categories. Generally, the daily load curves are clustered first in order to obtain load patterns of each consumer. However, due to the volume and high dimensions of load curves, existing clustering algorithms are not appropriate in this situation. Thus, a fused l... View full abstract»

• ### A Framework for Robust Hybrid State Estimation With Unknown Measurement Noise Statistics

Publication Year: 2018, Page(s):1866 - 1875
Cited by:  Papers (3)
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In practical applications like power systems, the distribution of the measurement noise is usually unknown and frequently deviates from the assumed Gaussian model, yielding outliers. Under these conditions, the performances of the existing state estimators that rely on Gaussian assumption can deteriorate significantly. In addition, the sampling rates of measurements from supervisory control and da... View full abstract»

• ### Hierarchical Clustering-Task Scheduling Policy in Cluster-Based Wireless Sensor Networks

Publication Year: 2018, Page(s):1876 - 1886
Cited by:  Papers (1)
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Organizing sensor nodes into a clustered architecture is an effective method for load balancing and prolonging the network lifetime. However, a serious drawback of the clustering approach is the imposed energy overhead caused by the “global” clustering operations in every round of the global round-based policy (GRBP). To mitigate this problem, this paper proposes a hierarchical clustering-task sch... View full abstract»

• ### Multiparty Energy Management for Grid-Connected Microgrids With Heat- and Electricity-Coupled Demand Response

Publication Year: 2018, Page(s):1887 - 1897
Cited by:  Papers (2)
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Combined heat and power (CHP) is an important distributed generation type for the microgrids (MGs) with both thermal and electricity demand. In this paper, a multiparty energy management framework with electricity and heat demand response is proposed for the CHP-MG. First, in order to decide the electricity and thermal prices, an optimization profit model of a microgrid operator (MGO) is formulate... View full abstract»

• ### Improving Synchronous Generator Parameters Estimation Using$d- q$Axes Tests and Considering Saturation Effect

Publication Year: 2018, Page(s):1898 - 1908
Cited by:  Papers (1)
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Fundamentals of parameter estimation of synchronous generator (SG) have already been presented in different standards such as IEEE Std. 115. The first proposed methods require short circuit tests and/or some tests for which the synchronous generator should be out of service. In recent reports, however, to avoid the shortcomings of former methods, partial load rejection tests on d-q axes have been ... View full abstract»

• ### Long-Term Maintenance Scheduling and Budgeting in Electricity Distribution Systems Equipped With Automatic Switches

Publication Year: 2018, Page(s):1909 - 1919
Cited by:  Papers (1)
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Maintenance management, as a key part of the asset management practices, plays a vital role in enhancing the reliability of the electricity distribution systems (EDS) where realizing a highly reliable EDS is being attributed higher and higher criticality in today's modern society. In this paper, a new approach is proposed to improve the reliability of EDS through optimal scheduling of preventive m... View full abstract»

• ### Optimal Design of Community Battery Energy Storage Systems With Prosumers Owning Electric Vehicles

Publication Year: 2018, Page(s):1920 - 1931
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This paper presents a novel approach that aims to assist a distribution system operator to intelligently design the community battery energy storage systems considering high penetration of prosumers equipped with rooftop solar photovoltaics and electric vehicles. The design problem is mathematically formulated after incorporating the battery storage system's cost model. The results show the capabi... View full abstract»

• ### Novel Detection Scheme Design Considering Cyber Attacks on Load Frequency Control

Publication Year: 2018, Page(s):1932 - 1941
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With the increase of cyberhacking activities, cyber attacks become urgent problems to system security. In this paper, cyber attacks on load frequency control (LFC) is studied. By unifying attack and detection, detection scheme considering specific attack strategies is presented. As for attack scheme design, four attack strategies are systematically analyzed with respect to their mechanism and infl... View full abstract»

• ### Interests and Limits of Machine Learning-Based Neural Networks for Rotor Position Estimation in EV Traction Drives

Publication Year: 2018, Page(s):1942 - 1951
Cited by:  Papers (1)
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In this paper, a novel rotor position estimator for an interior permanent magnet synchronous motor is presented and evaluated. The proposed estimator lies on one of the most popular methods in the field of artificial intelligence: Machine learning-based neural networks algorithm. The main interest is to introduce a cost-efficient position estimator that is comparable to classic methods in terms of... View full abstract»

• ### Mixed-Integer Nonlinear Programming Formulation for Distribution Networks Reliability Optimization

Publication Year: 2018, Page(s):1952 - 1961
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An optimal placement of protective devices could increase the reliability and quality level of a distribution network. An innovative mixed-integer nonlinear programming model is proposed in this paper to find the type, optimal siting, and number of protective devices to be accurately installed in distribution networks. The customer outage and protective devices costs are considered to derive a val... View full abstract»

• ### A Novel Decentralized Coordinated Voltage Control Scheme for Distribution System With DC Microgrid

Publication Year: 2018, Page(s):1962 - 1973
Cited by:  Papers (1)
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This paper proposes a novel decentralized coordinated voltage control (CVC) scheme for a distribution system consisting of dc microgrid (DCMG), doubly fed induction generator-based wind system, on-load tap changer (OLTC), and DSTATCOM. The proposed scheme considers the response time of various voltage regulating devices and assigns a master/slave role based on the operating conditions of the grid ... View full abstract»

• ### Data-Driven Flotation Industrial Process Operational Optimal Control Based on Reinforcement Learning

Publication Year: 2018, Page(s):1974 - 1989
Cited by:  Papers (4)
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This paper studies the operational optimal control problem for the industrial flotation process, a key component in the mineral processing concentrator line. A new model-free data-driven method is developed here for real-time solution of this problem. A novel formulation is given for the optimal selection of the process control inputs that guarantees optimal tracking of the operational indices whi... View full abstract»

• ### Second-Order Sliding-Mode Controller Design and Its Implementation for Buck Converters

Publication Year: 2018, Page(s):1990 - 2000
Cited by:  Papers (4)
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A second-order sliding-mode (SOSM) control method is developed for the regulation problem of a dc-dc buck converter. By taking into account the model uncertainties and external disturbances in the mathematical model, a sliding variable with relative of degree 2 is first constructed. Then, a new SOSM controller is developed such that the output voltage will well track the desired reference voltage.... View full abstract»

• ### An Adaptive Approach for PEVs Charging Management and Reconfiguration of Electrical Distribution System Penetrated by Renewables

Publication Year: 2018, Page(s):2001 - 2010
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An adaptive approach for distribution system reconfiguration and charging management of plug-in electric vehicles (PEV) is presented in this study. A stochastic model predictive control is applied to stochastically, adaptively, and dynamically reconfigure the system, manage the incidental charging pattern of PEVs, and deal with the variable and uncertain power of renewable energy sources. The obje... View full abstract»

• ### An Inherently Nonnegative Latent Factor Model for High-Dimensional and Sparse Matrices from Industrial Applications

Publication Year: 2018, Page(s):2011 - 2022
Cited by:  Papers (3)
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High-dimensional and sparse (HiDS) matrices are commonly encountered in many big-data-related and industrial applications like recommender systems. When acquiring useful patterns from them, nonnegative matrix factorization (NMF) models have proven to be highly effective owing to their fine representativeness of the nonnegative data. However, current NMF techniques suffer from: 1) inefficiency in a... View full abstract»

• ### Computation of Energy Loss in an Induction Motor During Unsymmetrical Voltage Sags—A Graphical Method

Publication Year: 2018, Page(s):2023 - 2030
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Symmetrical and unsymmetrical voltage sags are a major cause of energy loss in induction motors affecting the efficiency and longevity of the motor. A comprehensive and novel graphical method to determine energy loss during unsymmetrical sags is proposed. The energy is computed using torque-speed characteristics of the induction motor. Due to unbalance in the voltages during unsymmetrical sags, os... View full abstract»

• ### Self-Adaptive Incremental Conductance Algorithm for Swift and Ripple-Free Maximum Power Harvesting From PV Array

Publication Year: 2018, Page(s):2031 - 2041
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This paper deals with a new version of an incremental conductance algorithm for maximum power harvesting (MPH) from the solar photovoltaic array, which has inherent decision taking and self-adaptive ability. The working principle of a self-adaptive incremental conductance (SAInC) algorithm is based on three consecutive operating points on the power-voltage characteristic. These points smartly dete... View full abstract»

• ### A Data-Emergency-Aware Scheduling Scheme for Internet of Things in Smart Cities

Publication Year: 2018, Page(s):2042 - 2051
Cited by:  Papers (4)
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With the applications of Internet of Things (IoT) for smart cities, the real-time performance for a large number of network packets is facing serious challenge. Thus, how to improve the emergency response has become a critical issue. However, traditional packet scheduling algorithms cannot meet the requirements of the large-scale IoT system for smart cities. To address this shortcoming, this paper... View full abstract»

## Aims & Scope

Knowledge in the IST (Information Society Technologies) field envisions a technology bifurcation in the field of intelligent automation systems and real-time middle-ware technologies in the next 5-10 years. This technology bifurcation extends networked embedded intelligence at the real-time production control and re-scheduling levels further than is currently possible, allowing for a completely new range of intelligent automation products and services. Such products and services enables new paradigms of production and new concepts of product-services and new intelligent production automation concepts, which are more agile, flexible and integrated, based on agent-based technology. The scope of the journal considers the industry’s transition towards more knowledge-based production and systems organization and considers production from a more holistic perspective, encompassing not only hardware and software, but also people and the way in which they learn and share knowledge. Such a framework accommodates ideas related to: radical shifts in industrial structures with capabilities in networks and mastering; new hybrid technologies; development of new processes and devices and flexible and intelligent manufacturing systems; tools for the control of complex distributed production systems; realization of an ambient intelligence landscape at industrial level. The journal focuses on the following main topics: Flexible, collaborative factory automation, Distributed industrial control and computing paradigms, Internet-based monitoring and control systems, Real-time control software for industrial processes, Java and Jini in industrial environments, Control of wireless sensors and actuators, Systems interoperability and human machine interface.

Full Aims & Scope

## Meet Our Editors

Editor-in-Chief
Ren C. Luo
Department of Electrical Engineering
National Taiwan University