# IEEE Transactions on Industrial Informatics

## Volume 13 Issue 5 • Oct. 2017

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## Filter Results

Displaying Results 1 - 25 of 67

Publication Year: 2017, Page(s):C1 - 2117
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• ### IEEE Industrial Electronics Society

Publication Year: 2017, Page(s): C2
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• ### Reliability Enhancement of Redundancy Management in AFDX Networks

Publication Year: 2017, Page(s):2118 - 2129
Cited by:  Papers (1)
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Avionics Full Duplex Switched Ethernet is a safety critical network in which a redundancy management mechanism is employed to enhance the reliability of the network. However, as stated in the ARINC664-P7 standard, there still exists a potential problem, which may fail redundant transmissions due to sequence inversion in the redundant channels. In this paper, we explore this phenomenon and provide ... View full abstract»

• ### Lossless In-Network Processing in WSNs for Domain-Specific Monitoring Applications

Publication Year: 2017, Page(s):2130 - 2139
Cited by:  Papers (2)
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Internet of things (IOT) is emerging as sensing paradigms in many domain-specific monitoring applications in smart cities, such as structural health monitoring (SHM) and smart grid monitoring. Due to the large size of the monitoring objects (e.g., civil structure or the power grid), plenty of sensors need to be deployed and organized to be a large scale of multihop wireless sensor networks (WSNs),... View full abstract»

• ### Incorporating Intelligence in Fog Computing for Big Data Analysis in Smart Cities

Publication Year: 2017, Page(s):2140 - 2150
Cited by:  Papers (31)
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Data intensive analysis is the major challenge in smart cities because of the ubiquitous deployment of various kinds of sensors. The natural characteristic of geodistribution requires a new computing paradigm to offer location-awareness and latency-sensitive monitoring and intelligent control. Fog Computing that extends the computing to the edge of network, fits this need. In this paper, we introd... View full abstract»

• ### An Accurate Method for MPPT to Detect the Partial Shading Occurrence in a PV System

Publication Year: 2017, Page(s):2151 - 2161
Cited by:  Papers (10)
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This paper proposes an accurate detection scheme that effectively differentiates the partial shading from the uniform change of irradiance. By doing so, it avoids the unnecessary global peak search which results in a drop of the maximum power point tracker (MPPT) efficiency. The detection is achieved by calculating the irradiance at two designated points on the I-V curve namely, i.e., the short-ci... View full abstract»

• ### A Multilevel Inverter Structure Based on a Combination of Switched-Capacitors and DC Sources

Publication Year: 2017, Page(s):2162 - 2171
Cited by:  Papers (3)
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This paper presents a switched-capacitor multilevel inverter (SCMLI) combined with multiple asymmetric dc sources. The main advantage of proposed inverter with similar cascaded MLIs is reducing the number of isolated dc sources and replacing them with capacitors. A self-balanced asymmetrical charging pattern is introduced in order to boost the voltage and create more voltage levels. Number of circ... View full abstract»

• ### Neural Network Learning Adaptive Robust Control of an Industrial Linear Motor-Driven Stage With Disturbance Rejection Ability

Publication Year: 2017, Page(s):2172 - 2183
Cited by:  Papers (5)
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In this paper, a neural network learning adaptive robust controller (NNLARC) is synthesized for an industrial linear motor stage to achieve good tracking performance and excellent disturbance rejection ability. The NNLARC scheme contains parametric adaption part, robust feedback part, and radial basis function (RBF) neural network (NN) part in a parallel structure. The adaptive part and the robust... View full abstract»

• ### Environmental Sensors-Based Occupancy Estimation in Buildings via IHMM-MLR

Publication Year: 2017, Page(s):2184 - 2193
Cited by:  Papers (4)
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Occupancy estimation in buildings can benefit various applications such as heating, ventilation, and air-conditioning control, space monitoring, and emergency evacuation. Due to the consideration of temporal dependency in occupancy data, hidden Markov model (HMM) has been shown to be effective in occupancy estimation. However, the conventional HMM that assumes invariant temporal dependency of occu... View full abstract»

• ### Mixed-Effect Models for the Analysis and Optimization of Sheet-Metal Assembly Processes

Publication Year: 2017, Page(s):2194 - 2202
Cited by:  Papers (1)
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Assembly processes can be affected by various parameters, which is revealed by the measured geometrical characteristics (GCs) of the assembled parts deviating from the nominal values. Here, we propose a mixed-effect model (MEM) application for the purposes of analyzing variations in assembly cells, as well as for screening the input variables and characterization. MEMs make it possible to take int... View full abstract»

• ### Unevenly Sampled Dynamic Data Modeling and Monitoring With an Industrial Application

Publication Year: 2017, Page(s):2203 - 2213
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In this paper, a dynamic modeling method for unevenly sampled data is proposed for the monitoring of bi-layer (i.e., a process layer and a quality layer) dynamic processes. First, a novel uneven data dynamic canonical correlation analysis method with an integrated dynamic time window is proposed for interlayer latent structure modeling, which captures the dynamic relations between regularly sample... View full abstract»

• ### Electric Vehicle Route Selection and Charging Navigation Strategy Based on Crowd Sensing

Publication Year: 2017, Page(s):2214 - 2226
Cited by:  Papers (3)
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This paper has proposed an electric vehicle (EV) route selection and charging navigation optimization model, aiming to reduce EV users' travel costs and improve the load level of the distribution system concerned. Moreover, with the aid of crowd sensing, a road velocity matrix acquisition and restoration algorithm is proposed. In addition, the waiting time at charging stations is addressed based o... View full abstract»

• ### Bayesian Networks in Fault Diagnosis

Publication Year: 2017, Page(s):2227 - 2240
Cited by:  Papers (14)
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Fault diagnosis is useful in helping technicians detect, isolate, and identify faults, and troubleshoot. Bayesian network (BN) is a probabilistic graphical model that effectively deals with various uncertainty problems. This model is increasingly utilized in fault diagnosis. This paper presents bibliographical review on use of BNs in fault diagnosis in the last decades with focus on engineering sy... View full abstract»

• ### Multiagent-Based Transactive Energy Framework for Distribution Systems With Smart Microgrids

Publication Year: 2017, Page(s):2241 - 2250
Cited by:  Papers (9)
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The increasing population of microgrids with various kinds of plug and play energy resources and rapidly varying demand in distribution systems are multiplying the complexity involved in overall system management. This paper proposes an agent-based transactive energy management framework with a comprehensive energy management system (CEMS) as a solution to address the aggregated complexity induced... View full abstract»

• ### Robust Visual Tracking via Collaborative Motion and Appearance Model

Publication Year: 2017, Page(s):2251 - 2259
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In this paper, robust visual tracking scheme is achieved through a novel sparse tracking via collaborative motion and appearance (TCMA). A coarse-to-fine framework with both motion and holistic appearance information is taken into consideration. In coarse search, we employ an optical flow map for the generation of motion particles. A rough estimation of target image patch is obtained using l<su... View full abstract»

• ### Thermal-Aware Energy Management of an HPC Data Center via Two-Time-Scale Control

Publication Year: 2017, Page(s):2260 - 2269
Cited by:  Papers (3)
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This paper presents a two-time-scale control method to optimize the energy consumption of high-performance-computing data centers through dynamic frequency scaling of processors, tasks assignment, and cooling supplement. First, the steady and dynamical models of the data center are built, which reflect the computational interactions and thermal relationship among the components of the data center.... View full abstract»

• ### Optimal Protection Coordination for Microgrids Considering N $-$1 Contingency

Publication Year: 2017, Page(s):2270 - 2278
Cited by:  Papers (3)
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Usually, protection coordination problems are solved under the assumption that the network topology is fixed. Yet, in practice, any power system can encounter changes in the network topology due to transient events. These transient events can be in the form of line or generation source outage. Furthermore, in the presence of distributed generation, the network topology can change depending on whet... View full abstract»

• ### Hierarchical Distributed Scheme for Demand Estimation and Power Reallocation in a Future Power Grid

Publication Year: 2017, Page(s):2279 - 2290
Cited by:  Papers (2)
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The classical power allocation/reallocation faces difficult challenges in a future power grid with a great many distributed generators and fast power fluctuations caused by high percentage of renewable energy. To perform power reallocation fast in a future power grid with a large number of participants and disturbances, a hierarchical distributed scheme based on a partition framework is proposed. ... View full abstract»

• ### Fully Distributed Demand Response Using the Adaptive Diffusion–Stackelberg Algorithm

Publication Year: 2017, Page(s):2291 - 2301
Cited by:  Papers (3)
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In this paper, we consider the demand response problem in smart grid consisting of a retailer and multiple residential consumers, where the retailer determines consumers' payments based on their power consumption profile. Our aim is to propose a fully distributed algorithm that is able to optimize the aggregate cost, utility, and retailer's profit simultaneously. To this end, we first formulate th... View full abstract»

• ### Noise Effect and Noise-Assisted Ensemble Regression in Power System Online Sensitivity Identification

Publication Year: 2017, Page(s):2302 - 2310
Cited by:  Papers (2)
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Recently developed data acquisition equipment and data processing methods have ignited the possibility of power system online sensitivity identification (OSI). Despite the existing OSI algorithms, practical issues such as data collinearity and the noise effect on the identification algorithm must be considered to realize OSI in real-power systems. In this study, the negative and positive aspects o... View full abstract»

• ### Desirably Adjusting Gain Margin, Phase Margin, and Corresponding Crossover Frequencies Based on Frequency Data

Publication Year: 2017, Page(s):2311 - 2321
Cited by:  Papers (1)
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This paper presents an analytical method to tune a fixed-structure fractional-order compensator for satisfying desired phase and gain margins with adjustable crossover frequencies. The proposed method is based on the measured frequency data of the plant. Since no analytical model for the plant is needed in the compensator tuning procedure, the resulted compensator does not depend on the order and ... View full abstract»

• ### Daily Clearness Index Profiles Cluster Analysis for Photovoltaic System

Publication Year: 2017, Page(s):2322 - 2332
Cited by:  Papers (3)
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Due to various weather perturbation effects, the stochastic nature of real-life solar irradiance has been a major issue for solar photovoltaic (PV) system planning and performance evaluation. This paper aims to discover clearness index (CI) patterns and to construct centroids for the daily CI profiles. This will be useful in being able to provide a standardized methodology for PV system design and... View full abstract»

• ### Novel Three-Point Interpolation DFT Method for Frequency Measurement of Sine-Wave

Publication Year: 2017, Page(s):2333 - 2338
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This paper proposes a novel three-point interpolation discrete Fourier transform for accurate power system frequency measurement. The accurate formula of the proposed frequency measurement method is derived by using the maximum sidelobe decay windows. Moreover, the influence of white noise on the proposed frequency measurement is analyzed by deducing the expression of frequency measurement varianc... View full abstract»

• ### Optimization-Based AC Microgrid Synchronization

Publication Year: 2017, Page(s):2339 - 2349
Cited by:  Papers (3)
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This paper casts the synchronization phenomena in inverter-based ac microgrids as an optimization problem solved using alternating direction method of multipliers (ADMM). Existing cooperative control techniques are based on the standard voting protocols in multiagent systems, and assume ideal communication among inverters. Alternatively, this paper presents a recursive algorithm to restore synchro... View full abstract»

• ### A Fast Image Retrieval Method Designed for Network Big Data

Publication Year: 2017, Page(s):2350 - 2359
Cited by:  Papers (1)
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In the field of big data applications, image information is widely used. The value density of information utilization in big data is very low, and how to extract useful information quickly is very important. So we should transform the unstructured image data source into a form that can be analyzed. In this paper, we proposed a fast image retrieval method which designed for big data. First of all, ... 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