# IEEE Transactions on Industrial Informatics

## Issue 1 • Jan. 2019

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## Filter Results

Displaying Results 1 - 25 of 63

Publication Year: 2019, Page(s):C1 - 2
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• ### IEEE Industrial Electronics Society

Publication Year: 2019, Page(s): C2
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• ### Performance of a Classifier Based on Time-Domain Features for Incipient Fault Detection in Inverter Drives

Publication Year: 2019, Page(s):3 - 14
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In the field of industrial informatics and fault diagnostic applications, an important topic is about detecting and locating fault in an industrial machinery in its incipient stage. This enables avoiding severe faults that are often followed by unscheduled process interruptions and escalated maintenance cost. Inverter-driven induction motor drives, among other irregularities, suffer from degradati... View full abstract»

• ### Learning-Assisted Optimization in Mobile Crowd Sensing: A Survey

Publication Year: 2019, Page(s):15 - 22
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Mobile crowd sensing (MCS) is a relatively new paradigm for collecting real-time and location-dependent urban sensing data. Given its applications, it is crucial to optimize the MCS process with the objective of maximizing the sensing quality and minimizing the sensing cost. While earlier studies mainly tackle this issue by designing different combinatorial optimization algorithms, there is a new ... View full abstract»

• ### Optimized Configuration of Exponential Smoothing and Extreme Learning Machine for Traffic Flow Forecasting

Publication Year: 2019, Page(s):23 - 34
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Traffic flow forecasting is a useful technology applied to solve traffic congestion problems and to improve transportation mobility. Neural networks related approaches have been applied to develop traffic forecasting models for more than two decades. Since neural networks are sensitivity in parameters selection, selecting appropriate modeling configuration is essential to improve the accuracy and ... View full abstract»

• ### FallDroid: An Automated Smart-Phone-Based Fall Detection System Using Multiple Kernel Learning

Publication Year: 2019, Page(s):35 - 44
Cited by:  Papers (1)
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Common fall occurrences in the elderly population pose dramatic challenges in public healthcare domain. Adoption of an efficient and yet highly reliable automatic fall detection system may not only mitigate the adverse effects of falls through immediate medical assistance, but also profoundly improve the functional ability and confidence level of elder people. This paper presents a pervasive fall ... View full abstract»

• ### Heartrate-Dependent Heartwave Biometric Identification With Thresholding-Based GMM–HMM Methodology

Publication Year: 2019, Page(s):45 - 53
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This paper presents an adaptive heartrate-dependent heartwave-signal-based biometric identification. A reliable and continuous heartwave extraction method featuring the hybridized discrete waveform transform method with heartrate adaptive QT and PR intervals to perform comprehensive heartwave features extractions on more than 35 000 heartwave signal. The size of training data was determined and th... View full abstract»

• ### Coordinated Electric Vehicle Charging With Reactive Power Support to Distribution Grids

Publication Year: 2019, Page(s):54 - 63
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We develop hierarchical coordination frameworks to optimally manage active and reactive power dispatch of number of spatially distributed electric vehicles (EVs) incorporating distribution grid level constraints. The frameworks consist of detailed mathematical models, which can benefit the operation of both entities involved, i.e., the grid operations and EV charging. The first model comprises of ... View full abstract»

• ### Adaptive Protection Coordination Scheme Using Numerical Directional Overcurrent Relays

Publication Year: 2019, Page(s):64 - 73
Cited by:  Papers (1)
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Dynamically changing distribution system operating conditions compromises the coordination of the existing protection schemes. This paper proposes an online adaptive protection coordination scheme by utilizing numerical directional overcurrent relays (DOCRs) and commercial A Mathematical Programming Language (AMPL) based Interior Point OPTimization (IPOPT) solver. The proposed scheme also utilizes... View full abstract»

• ### A Hierarchical Self-Adaptive Data-Analytics Method for Real-Time Power System Short-Term Voltage Stability Assessment

Publication Year: 2019, Page(s):74 - 84
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As one of the most complex and largest dynamic industrial systems, a modern power grid envisages the wide-area measurement protection and control (WAMPAC) system as the grid sensing backbone to enhance security, reliability, and resiliency. However, based on the massive wide-area measurement data, how to realize real-time short-term voltage stability (STVS) assessment is an essential yet challengi... View full abstract»

• ### Enabling Cloud-Based Computational Fluid Dynamics With a Platform-as-a-Service Solution

Publication Year: 2019, Page(s):85 - 94
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Computational fluid dynamics (CFD) is widely used in manufacturing and engineering from product design to testing. CFD requires intensive computational power and typically needs high-performance computing to reduce potentially long experimentation times. Dedicated high-performance computing systems are often expensive for small-to-medium enterprises (SMEs). Cloud computing claims to enable low-cos... View full abstract»

• ### Analysis and Optimized Design of Compensation Capacitors for a Megahertz WPT System Using Full-Bridge Rectifier

Publication Year: 2019, Page(s):95 - 104
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The spatial freedom of wireless power transfer (WPT) systems can be improved using a high operating frequency such as several megahertz (MHz). In the conventional compensations the load of the coupling coils is usually assumed to be pure resistive. However, in MHz WPT systems this assumption is not accurate anymore due to the nonneglectable rectifier input reactance. This paper discusses the imped... View full abstract»

• ### Feature Trend Extraction and Adaptive Density Peaks Search for Intelligent Fault Diagnosis of Machines

Publication Year: 2019, Page(s):105 - 115
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Traditional machine fault diagnosis techniques are labor-intensive and hard for nonexperts to use. In this paper, a novel three-stage intelligent fault diagnosis approach is proposed for practical industrial process monitoring. A new feature processing technique is developed to enhance the identification accuracy and reduce the computation burden, which incorporates variational mode decomposition-... View full abstract»

• ### A Multistage Home Energy Management System With Residential Photovoltaic Penetration

Publication Year: 2019, Page(s):116 - 126
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Advances in bilateral communication technology foster the improvement and development of home energy management system (HEMS). This paper proposes a new HEMS to optimally schedule home energy resources (HERs) in a high rooftop photovoltaic penetrated environment. The proposed HEMS includes three stages: forecasting, day-ahead scheduling, and actual operati... View full abstract»

• ### Gaussian Process Regression for In Situ Capacity Estimation of Lithium-Ion Batteries

Publication Year: 2019, Page(s):127 - 138
Cited by:  Papers (1)
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Accurate on-board capacity estimation is of critical importance in lithium-ion battery applications. Battery charging/discharging often occurs under a constant current load, and hence voltage versus time measurements under this condition may be accessible in practice. This paper presents a data-driven diagnostic technique, Gaussian process regression for in situ capacity estimatio... View full abstract»

• ### Robust FIR State Estimation of Dynamic Processes Corrupted by Outliers

Publication Year: 2019, Page(s):139 - 147
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The outlier is a common issue in the design of state estimators for an industrial process. In this paper, a robust finite impulse response (FIR) filter is proposed for time-invariant state-space models with its noise following the Student's $t$ distributions. A batch solution is first derived by maximizing the likelihood, and t... View full abstract»

• ### Security-Constrained Unit Commitment in Presence of Lithium-Ion Battery Storage Units Using Information-Gap Decision Theory

Publication Year: 2019, Page(s):148 - 157
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This paper proposes a robust framework for the security-constrained unit commitment (SCUC) of generating units, in the presence of lithium-ion battery energy storage units, using the information-gap decision theory (IGDT) technique. In the suggested model, the degradation cost of the battery storage units has been considered in the objective function as a highly influencing factor in the operation... View full abstract»

• ### Optimal Power Equipment Sizing and Management for Cooperative Buildings in Microgrids

Publication Year: 2019, Page(s):158 - 172
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We present a novel model for the optimal design and power management of a group of buildings with diverse load patterns that are able to exchange energy through a common dc bus. The determination of the optimal sizes of the photovoltaic arrays, energy storage systems and inverters, and the optimal scheduling of power exchanges are achieved through the formulation of a mixed integer linear programm... View full abstract»

• ### A High-Accuracy TOA-Based Localization Method Without Time Synchronization in a Three-Dimensional Space

Publication Year: 2019, Page(s):173 - 182
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Time-of-arrival (TOA) is a widely used localization technique in robotic localization systems. However, TOA-based methods require strict time synchronization between the source (target) and sensors (receivers), which significantly influences the localization accuracy. In this paper, we propose an iterative Time-of-arrival (iTOA) localization technique to eliminate the time synchronization error in... View full abstract»

• ### Optimal Coordination of Double-Inverse Overcurrent Relays for Stable Operation of DGs

Publication Year: 2019, Page(s):183 - 192
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Due to the increasing penetration of distributed generations (DGs) in distribution networks, the performance of protective relays is becoming more critical to maintain the stability of the DGs especially during fault conditions. Among different types of DGs, squirrel cage induction generators (SCIGs) and synchronous DGs are sensitive to faults and might become unstable even after fault clearance. ... View full abstract»

• ### Robust Adaptive Sliding Mode Control for Switched Networked Control Systems With Disturbance and Faults

Publication Year: 2019, Page(s):193 - 204
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In this paper, the problem of switched networked control systems (SNCSs) with external disturbance and actuator /sensor faults is investigated. Meanwhile, the communication constraints such as network-induced delay, packet dropouts, and packet disorder are considered in a communication network. A robust adaptive sliding mode control method is proposed for disturbance damping and faults tolerance, ... View full abstract»

• ### Adaptive Torque and Flux Control of Sensorless IPMSM Drive in the Stator Flux Field Oriented Reference Frame

Publication Year: 2019, Page(s):205 - 212
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In this paper, direct torque and flux control of interior permanent magnet synchronous motor has been described in the stator flux field-oriented reference frame based on adaptive input-output feedback linearization (AIOFL) control method. The proposed control method does not need to know the motor two-axis inductances, the rotor permanent magnetic flux linkages, and the rotor position. However, t... View full abstract»

• ### An Estimation Method of Defect Size From MFL Image Using Visual Transformation Convolutional Neural Network

Publication Year: 2019, Page(s):213 - 224
Cited by:  Papers (1)
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In most current nondestructive testing systems, a magnetic flux leakage (MFL) method is widely used in various industry fields, where the structural integrity of specimens is of vital importance. The estimation of defect size in specimen from the MFL measurements is a key and difficult problem. The traditional methods have low precision because feature extraction procedure relies on prior knowledg... View full abstract»

• ### Optimal Distributed Control for Secondary Frequency and Voltage Regulation in an Islanded Microgrid

Publication Year: 2019, Page(s):225 - 235
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This paper proposes an optimal distributed control strategy for the coordination of multiple distributed generators in an islanded microgrid (MG). A finite-time secondary frequency control approach is developed to eliminate the frequency deviation and maintain accurate active power sharing in a finite-time manner. It is demonstrated that the traditional distributed control approach with asymptotic... View full abstract»

• ### A Noise-Suppressing Neural Algorithm for Solving the Time-Varying System of Linear Equations: A Control-Based Approach

Publication Year: 2019, Page(s):236 - 246
Cited by:  Papers (7)
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It has been found that there exists an essential similarity between solving equations and controlling dynamic systems: Both errors are expected to decrease to zero (or an acceptably tiny value) as soon as possible. By exploiting such a similarity, researchers have presented and investigated continuous-time recurrent neural network models for solving time-varying problems. To be compatible with dig... 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