# IEEE Transactions on Industrial Informatics

## Volume 14 Issue 7 • July 2018

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## Filter Results

Displaying Results 1 - 25 of 53

Publication Year: 2018, Page(s):C1 - 2813
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• ### IEEE Industrial Electronics Society

Publication Year: 2018, Page(s): C2
| PDF (55 KB)
• ### Integrating Renewable Energy Resources Into the Smart Grid: Recent Developments in Information and Communication Technologies

Publication Year: 2018, Page(s):2814 - 2825
Cited by:  Papers (2)
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Rising energy costs, losses in the present-day electricity grid, risks from nuclear power generation, and global environmental changes are motivating a transformation of the conventional ways of generating electricity. Globally, there is a desire to rely more on renewable energy resources (RERs) for electricity generation. RERs reduce greenhouse gas emissions and may have economic benefits, e.g., ... View full abstract»

• ### Data-Driven Distributionally Robust Energy-Reserve-Storage Dispatch

Publication Year: 2018, Page(s):2826 - 2836
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This paper proposes distributionally robust energy-reserve-storage co-dispatch model and method to facilitate the integration of variable and uncertain renewable energy. The uncertainties of renewable generation forecasting errors are characterized through an ambiguity set, which is a set of probability distributions consistent with observed historical data. The proposed model minimizes the expect... View full abstract»

• ### Dynamic Prediction of Powerline Frequency for Wide Area Monitoring and Control

Publication Year: 2018, Page(s):2837 - 2846
Cited by:  Papers (1)
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This paper presents a novel data driven framework based on$\epsilon$-Support Vector Regression to reduce the bandwidth requirement for transmission of phasor measurement unit (PMU) data. This is achieved by judicious elimination of redundant data at the PMU before transmission. Simultaneously, the missing samples are predicted ... View full abstract»

• ### Drilling Path Optimization by Optimal Foraging Algorithm

Publication Year: 2018, Page(s):2847 - 2856
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Drilling path optimization (DPO) is a crucial issue in current manufacturing systems. In this paper, an optimization algorithm named the optimal foraging algorithm (OFA) is presented based on optimal foraging theory to solve the sequencing problem when many holes must be drilled. The objective of this study is to identify the optimal sequence of drilling operations using OFA to minimize the total ... View full abstract»

• ### Implementation of Multilayer Fifth-Order Generalized Integrator-Based Adaptive Control for Grid-Tied Solar PV Energy Conversion System

Publication Year: 2018, Page(s):2857 - 2868
Cited by:  Papers (1)
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This paper presents an adaptive control approach based on a novel multilayer fifth-order generalized integrator (MFOGI) and single-input fuzzy-tuned proportional-integral (PI) controller for single-phase two-stage grid-connected partially shaded solar photovoltaic (PV) system, where the global maximum power point (GMPP) is tracked by using a novel human psychology optimization (HPO) algorithm. The... View full abstract»

• ### Battery Lifetime Modeling and Validation of Wireless Building Automation Devices in Thread

Publication Year: 2018, Page(s):2869 - 2880
Cited by:  Papers (2)
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The need for energy efficiency in wireless communication is prevalent in all areas, but to an even greater extent in low-power and lossy networks that rely on resource-constrained devices. This paper seeks to address the problem of modeling the battery lifetime of a duty-cycled node, participating in a wireless sensor network that is typically used in smart home and building applications. Modeling... View full abstract»

• ### An Embedded Cloud Database Service Method for Distributed Industry Monitoring

Publication Year: 2018, Page(s):2881 - 2893
Cited by:  Papers (1)
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Current client/server or multiagent based embedded database systems are hard to match the quality of service of distributed industry monitoring. To address the issues, an embedded cloud database service (ECDBS) method is proposed. First, an ECDBS framework is constructed, and a dual-timing transaction control (DT2C) method is proposed to increase the real-time performance and stableness... View full abstract»

• ### Multiaggregator Collaborative Electric Vehicle Charge Scheduling Under Variable Energy Purchase and EV Cancelation Events

Publication Year: 2018, Page(s):2894 - 2902
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With the growth of electric vehicles across the globe, it is essential to have a corresponding charging infrastructure developed. Several research works highlight the benefits of aggregator-based scheduling, where all aggregators operate in similar conditions with the same amount of purchased energy. However, there are unscheduled EVs left due to unavailability of sufficient energy and/or charging... View full abstract»

• ### On the Role of Communications Plane in Distributed Optimization of Power Systems

Publication Year: 2018, Page(s):2903 - 2913
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Distributed optimization methods have been widely studied in recent years as they could be instrumental in optimizing the operation of future power systems. Compared to the centralized approach, communications will have greater impact on distributed methods as their performance depends heavily on the information exchange among multiple control entities. However, it is not clear what communications... View full abstract»

• ### A Novel Initial Rotor Position Estimation Method at Standstill for Doubly Salient Permanent Magnet Motor

Publication Year: 2018, Page(s):2914 - 2924
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In order to receive ground signals efficiently, doubly salient permanent magnet (DSPM) motor which is applied in communication satellites as a drive needs to be activated frequently to adjust the attitude of communication satellites. Then, the initial rotor position of the motor must be estimated accurately at standstill for producing a steady and sufficient starting torque. If the rotor rotates d... View full abstract»

• ### Sensor Selection Method to Accurately Model the Thermal Error in a Spindle Motor

Publication Year: 2018, Page(s):2925 - 2931
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Thermal error in machine tools arises from error in positioning the tool due to thermal distortion of the machine structure. Thermal error can be effectively reduced by implementing a compensation algorithm into the machine control loop. The compensation algorithm is derived from a disturbance model or mathematical representation of the thermal error. In this paper, thermal error in a spindle moto... View full abstract»

• ### Intelligent Optimal Control With Critic Learning for a Nonlinear Overhead Crane System

Publication Year: 2018, Page(s):2932 - 2940
Cited by:  Papers (3)
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In this paper, for achieving the discounted optimal feedback stabilization of a nonlinear overhead crane system, we establish an intelligent control strategy to obtain the solution of the corresponding Hamilton-Jacobi-Bellman equation. Specifically, neural networks are employed to serve as a necessary component to the control system, which exhibits strong online learning ability. A novel updating ... View full abstract»

• ### Autonomous Power Control and Management Between Standalone DC Microgrids

Publication Year: 2018, Page(s):2941 - 2950
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Renewable integrated dc Microgrids (DCMGs) are gaining popularity by feeding remote locations in qualitative and quantitative manner. Reliability of autonomous dc microgrids depend on battery capacity and size due to stochastic behavior of renewables. Over charging and discharging scenarios compel the microgrid into insecure zone. Increasing the storage capacity is not an economical solution becau... View full abstract»

• ### Wild Goats Algorithm: An Evolutionary Algorithm to Solve the Real-World Optimization Problems

Publication Year: 2018, Page(s):2951 - 2961
Cited by:  Papers (1)
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Solution of optimization problems is inseparable part of science and engineering. The close dependence of industry applications on science and engineering clarifies need to optimization algorithms for modern industries. In this paper, the proposition of an evolutionary optimization algorithm is presented. The proposed algorithm is inspired from wild goats' climbing. The living in the groups and co... View full abstract»

• ### On Maximizing Min Flow Rates in Rechargeable Wireless Sensor Networks

Publication Year: 2018, Page(s):2962 - 2972
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In a rechargeable wireless sensor network (rWSN), the amount of data forwarded by source nodes to one or more sinks is bounded by the energy harvesting rate of sensor nodes. To improve sensing quality, we consider a novel approach whereby we place a finite number of auxiliary chargers (ACs) with wireless power transfer and energy harvesting ability to boost the energy harvesting rate of some senso... View full abstract»

• ### Audible Sound-Based Intelligent Evaluation for Aluminum Alloy in Robotic Pulsed GTAW: Mechanism, Feature Selection, and Defect Detection

Publication Year: 2018, Page(s):2973 - 2983
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Aluminum alloy is the main structure material in aerospace industry. Online defect detection for aluminum alloy in pulsed gas tungsten arc welding (GTAW) is still challenging, especially for increasing application of robotics. This paper presents an intelligent methodology for real-time evaluation of weld penetration defects based on arc audible sound sensing for aluminum alloy in robotic-pulsed G... View full abstract»

• ### Flexible Shear Mode Transducer for Structural Health Monitoring Using Ultrasonic Guided Waves

Publication Year: 2018, Page(s):2984 - 2993
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The application of the fundamental shear-horizontal wave mode for guided wave structural health monitoring is undoubtedly beneficial due to its nondispersive characteristics. Existing guided wave shear mode transducers are rigid and brittle, because of these characteristics, bonding them to irregular surfaces (i.e., curved surfaces) is challenging. There is a huge market interest in the developmen... View full abstract»

• ### Optimal Feature Selection via NSGA-II for Power Quality Disturbances Classification

Publication Year: 2018, Page(s):2994 - 3002
Cited by:  Papers (1)
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This paper presents an application of nondominated sorting genetic algorithm II (NSGA-II) for multiobjective feature selection in power quality disturbances classification. Classification error and number of features are collectively minimized to ensure good accuracy and feasible computation time. NSGA-II gives different Pareto-optimal solutions based on the combination of objectives. Considering ... View full abstract»

• ### Control of a Solar Photovoltaic Integrated Universal Active Power Filter Based on a Discrete Adaptive Filter

Publication Year: 2018, Page(s):3003 - 3012
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In this work, a novel technique based on adaptive filtering is proposed for the control of a three-phase universal active power filter with a solar photovoltaic array integrated into its dc bus. Two adaptive filters along with a zero crossing detection technique are used to extract the magnitude of a fundamental active component of distorted load currents, which is then used in estimation of a ref... View full abstract»

• ### Adaptive Robust Synchronization Control of a Dual-Linear-Motor-Driven Gantry With Rotational Dynamics and Accurate Online Parameter Estimation

Publication Year: 2018, Page(s):3013 - 3022
Cited by:  Papers (3)
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For dual-linear-motor-driven (DLMD) gantry systems widely used in industrial applications, the strong mechanical coupling usually makes it difficult to achieve both good tracking and smooth operation performance simultaneously. In most of the existing control schemes, only the pure motion synchronization is considered, which may produce large internal forces leading to performance degradation and ... View full abstract»

• ### Stochastic Control of Predictive Power Management for Battery/Supercapacitor Hybrid Energy Storage Systems of Electric Vehicles

Publication Year: 2018, Page(s):3023 - 3030
Cited by:  Papers (4)
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This paper presents a neural network (NN) based methodology for power demand prediction and a power distribution strategy for battery/supercapacitor hybrid energy storage systems of pure electric vehicles. To develop an efficient prediction model, driving cycles are first grouped and distinguished as three different driving patterns. For each driving pattern, characteristic parameter data that cou... View full abstract»

• ### Dynamic Spectrum Allocation Algorithms for Industrial Cognitive Radio Networks

Publication Year: 2018, Page(s):3031 - 3043
Cited by:  Papers (1)
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Irregular spectrum usage and spectrum scarcity in emergency situations is a common problem in industrial wireless networks. To enhance the dynamic spectrum usage, cognitive radio network (CRN) is introduced in various automotive industrial wireless applications named as industrial cognitive radio network (ICRN). However, establishing the control channel by using channel hopping mechanism in ICRN i... View full abstract»

• ### Tracking Control of Robot Manipulators with Unknown Models: A Jacobian-Matrix-Adaption Method

Publication Year: 2018, Page(s):3044 - 3053
Cited by:  Papers (5)
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Tracking control of robot manipulators is a fundamental and significant problem in robotic industry. As a conventional solution, the Jacobian-matrix-pseudo-inverse (JMPI) method suffers from two major limitations: one is the requirement on known information of the robot model such as parameter and structure; the other is the position error accumulation phenomenon caused by the open-loop nature. To... 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