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IEEE Industrial Electronics Society
Year: 2021 | Volume: 17 | Issue: 11
Energy-Efficient Industrial Internet of Things: Overview and Open Issues
Publication Year: 2021,Page(s):7225 - 7237
Cited by: Papers (122)
The last few decades have witnessed an explosive growth of the Internet-of-Things (IoT) systems, which provide ubiquitous sensing and computing services. When adopted in industrial and manufacturing environments, IoT is referred to as the industrial IoT (IIoT), which has attracted increasing research attention. Energy efficiency is one of the most important research topics in green IIoT, as 1) the...Show More
Auto-Tuning of Identified Highly Sensitive Parameters for ANAMMOX System: Advanced Modeling Approach
Alam Nawaz;Nikita Saxena;Amarpreet Singh Arora;Choa Mun Yun;Moonyong Lee
Publication Year: 2021,Page(s):7238 - 7245
Cited by: Papers (5)
Parameter tuning, which includes the parameter estimation of the anaerobic ammonium oxidation (ANAMMOX) process, is challenging owing to the nonlinear and complex nature of the biological structure and microbial symmetry. This article presents an approach to overcome this challenge by identifying highly sensitive parameters by performing sensitivity analysis and parameter auto-tuning under various...Show More
Integrated Crash Avoidance and Mitigation Algorithm for Autonomous Vehicles
Publication Year: 2021,Page(s):7246 - 7255
Cited by: Papers (39)
This article presents a novel integrated path-following, crash avoidance, and crash mitigation control algorithm for autonomous vehicles. To improve stability and tracking accuracy of the algorithm in extreme conditions, combined-slip tire forces are considered in the system model. A predictive control framework that monitors slip conditions at each tire is then developed to achieve good dynamics ...Show More
A Multiagent Competitive Bidding Strategy in a Pool-Based Electricity Market With Price-Maker Participants of WPPs and EV Aggregators
Xiang Gao;Ka Wing Chan;Shiwei Xia;Xiaoshun Zhang;Kuan Zhang;Jiahan Zhou
Publication Year: 2021,Page(s):7256 - 7268
Cited by: Papers (33)
Large-scale renewable energy suppliers and electric vehicles (EVs) are expected to become dominated participants in future electricity market. In this article, a competitive bidding strategy is formulated for wind power plants (WPPs) and EV aggregators in a pool-based day-ahead electricity market. A bilevel multiagent based model is proposed to study their bidding behaviors, with market clearing c...Show More
Data-Driven Multiobjective Predictive Optimal Control of Refining Process With Non-Gaussian Stochastic Distribution Dynamics
Publication Year: 2021,Page(s):7269 - 7278
Cited by: Papers (13)
The fiber length and the Canadian standard freeness (CSF) are two key indices in measuring pulp quality of the refining process with non-Gaussian stochastic distribution dynamics. Among them, it is defective to use the conventional 1-D average fiber length (AFL) as a pulp quality index because the AFL is insufficient to describe the 2-D probability density function (pdf) shaping of fiber length di...Show More
Complementary Virtual Mirror Fault Diagnosis Method for Microgrid Inverter
Publication Year: 2021,Page(s):7279 - 7290
Cited by: Papers (11)
The data loss and corresponding false fault features of single-phase or multiphase detection signals caused by sensors is a relatively troublesome problem, which can increase the difficulty to the fault diagnosis of switch fault and open-phase fault of inverter, and even can lead to false alarm. For these problems, a complementary virtual mirror fault diagnosis method for microgrid inverter is pro...Show More
Improved Iterative Learning Direct Torque Control for Torque Ripple Minimization of Surface-Mounted Permanent Magnet Synchronous Motor Drives
Publication Year: 2021,Page(s):7291 - 7303
Cited by: Papers (29)
This article presents an improved iterative learning direct torque control (IL-DTC) to remarkably minimize the torque ripples for a surface-mounted permanent magnet synchronous motor (SPMSM) drive. Unlike the conventional IL-DTC, the proposed IL-DTC significantly attenuates the torque ripples by effectively suppressing the repetitive disturbances using the speed and load torque compensating terms ...Show More
Transfer Learning-Based State of Charge Estimation for Lithium-Ion Battery at Varying Ambient Temperatures
Publication Year: 2021,Page(s):7304 - 7315
Cited by: Papers (83)
Accurate and reliable state of charge (SoC) estimation becomes increasingly important to provide a stable and efficient environment for Lithium-ion batteries (LiBs) powered devices. Most data-driven SoC models are built for a fixed ambient temperature, which neglect the high sensitivity of LiBs to temperature and may cause severe prediction errors. Nevertheless, a systematic evaluation of the impa...Show More
Enhancing White Rabbit Synchronization Stability and Scalability Using P2P Transparent and Hybrid Clocks
José Luis Gutiérrez-Rivas;Felipe Torres-González;Eduardo Ros;Javier Díaz
Publication Year: 2021,Page(s):7316 - 7324
Cited by: Papers (4)
Time synchronization faces an increasing performance demand nowadays. This is particularly common in different segments, such as new scientific infrastructures, power grid, telecommunications or fifth-generation (5G) wireless networks. All of them share the need for a time synchronization technology offering a very low synchronization error along large networks. The new version of the IEEE-1588-20...Show More
Resource-Optimal Fault-Tolerant Scheduler Design for Task Graphs Using Supervisory Control
Publication Year: 2021,Page(s):7325 - 7337
Cited by: Papers (17)
Real-time control applications are highly parallelizable and can be used to effectively harness the capacity of a given computing platform when appropriately scheduled. Given a multicore platform for executing a set of parallelizable applications, it is necessary to ensure proper functioning of the system even in the presence of transient processor faults. However, most existing scheduling approac...Show More
Model-Assisted Compressed Sensing for Vibration-Based Structural Health Monitoring
Federica Zonzini;Matteo Zauli;Mauro Mangia;Nicola Testoni;Luca De Marchi
Publication Year: 2021,Page(s):7338 - 7347
Cited by: Papers (43)
The main challenge in the implementation of long-lasting vibration monitoring systems is to tackle the constantly evolving complexity of modern “mesoscale” structures. Thus, the design of energy-aware solutions is promoted for the joint optimization of data sampling rates, onboard storage requirements, and communication data payloads. In this context, the present work explores the feasibility of t...Show More
Iterative Widen Heuristic Beam Search Algorithm for Scheduling Problem of Flexible Assembly Systems
Publication Year: 2021,Page(s):7348 - 7358
Cited by: Papers (10)
Scheduling of assembly manufacturing systems has received much attention in recent years, but the scheduling problem of deadlock-prone flexible assembly systems (FASs) is rarely studied. Based on the Petri net models of FASs, this article studies the scheduling problem of deadlock-prone FASs, and the heuristic beam search (HBS) algorithm is proposed to minimize the makespan. In HBS, the state spac...Show More
Input–Output Data-Based Output Antisynchronization Control of Multiagent Systems Using Reinforcement Learning Approach
Zhinan Peng;Yiyi Zhao;Jiangping Hu;Rui Luo;Bijoy Kumar Ghosh;Sing Kiong Nguang
Publication Year: 2021,Page(s):7359 - 7367
Cited by: Papers (41)
This article investigates an output antisynchronization problem of multiagent systems by using an input-output data-based reinforcement learning approach. Till now, most of the existing results on antisynchronization problems required full-state information and exact system dynamics in the controller design, which is always invalid in practical scenarios. To address this issue, a new system repres...Show More
Multidimensional Reconstruction of Internal Defects in Additively Manufactured Steel Using Photothermal Super Resolution Combined With Virtual Wave-Based Image Processing
Samim Ahmadi;Gregor Thummerer;Stefan Breitwieser;Günther Mayr;Julien Lecompagnon;Peter Burgholzer;Peter Jung;Giuseppe Caire;Mathias Ziegler
Publication Year: 2021,Page(s):7368 - 7378
Cited by: Papers (12)
We combine three different approaches to greatly enhance the defect reconstruction ability of active thermographic testing. As experimental approach, laser-based structured illumination is performed in a stepwise manner. As an intermediate signal processing step, the virtual wave concept is used in order to effectively convert the notoriously difficult to solve diffusion-based inverse problem into...Show More
Multidimensional Reconstruction of Internal Defects in Additively Manufactured Steel Using Photothermal Super Resolution Combined With Virtual Wave-Based Image Processing
Samim Ahmadi;Gregor Thummerer;Stefan Breitwieser;Günther Mayr;Julien Lecompagnon;Peter Burgholzer;Peter Jung;Giuseppe Caire;Mathias Ziegler
Year: 2021 | Volume: 17 | Issue: 11
Detection and Location of Aged Cable Segment in Underground Power Distribution System Using Deep Learning Approach
Publication Year: 2021,Page(s):7379 - 7389
Cited by: Papers (44)
Aged cable segments in underground power distribution systems will gradually develop into severe faults. The location of aged cable segment is essential for ensuring system reliability and reducing maintenance cost, but is rarely studied by the existing research. In this article, a novel aged cable segment detection and location method based on wide frequency range transfer function (TF) measureme...Show More
An Optimal Direct Torque Control Strategy for Surface-Mounted Permanent Magnet Synchronous Motor Drives
Publication Year: 2021,Page(s):7390 - 7400
Cited by: Papers (22)
This article investigates an observer-based optimal direct torque control (DTC) strategy for improving the transient and steady-state performance of surface-mounted permanent magnet synchronous motor (SPMSM) drives. Unlike conventional DTC techniques, the proposed method simultaneously controls speed, torque, and flux variables by employing the optimal control theory in the stationary reference fr...Show More
Reliable Minimum Cycle Time of 5G NR Based on Data-Driven Channel Characterization
Publication Year: 2021,Page(s):7401 - 7411
Cited by: Papers (7)
Wireless communication is evolving to support critical control in automation systems. The fifth-generation (5G) mobile network air interface New Radio adopts a scalable numerology and mini-slot transmission for short packets that make it potentially suitable for critical control systems. The reliable minimum cycle time is an important indicator for industrial communication techniques but has not y...Show More
Stealthy Sensor Attack Detection and Real-Time Performance Recovery for Resilient CPS
Publication Year: 2021,Page(s):7412 - 7422
Cited by: Papers (38)
Cyber-physical attacks exploit intrinsic natures of physical systems and can severely damage cyber-physical systems (CPSs) without being detected by the conventional anomaly detector. In this article, based on software-defined networking, we propose a holistic resilient CPS framework that can detect, isolate, and recover from cyber-physical attacks in real time. To show the effectiveness of the pr...Show More
A Unified Light Framework for Real-Time Fault Detection of Freight Train Images
Publication Year: 2021,Page(s):7423 - 7432
Cited by: Papers (21)
Real-time fault detection for freight trains plays a vital role in guaranteeing the security and optimal operation of railway transportation under stringent resource requirements. Despite the promising results for deep-learning-based approaches, the performance of these fault detectors on freight train images is far from satisfactory in both accuracy and efficiency. This article proposes a unified...Show More
A Two-Layer Hybrid Optimization Approach for Large-Scale Offshore Wind Farm Collector System Planning
Tengjun Zuo;Yuchen Zhang;Ke Meng;Ziyuan Tong;Zhao Yang Dong;Yang Fu
Publication Year: 2021,Page(s):7433 - 7444
Cited by: Papers (40)
Constructing large-scale offshore wind farms (OWFs) has become the main direction of utilizing wind power to help realize the energy transformation. Traditionally, the planning of the OWF collector system would rely on either heuristic or deterministic optimization algorithms, which, respectively, suffer from unstable outputs and a lack of freedom in searching for a globally optimal solution. This...Show More
Open-Set Domain Adaptation in Machinery Fault Diagnostics Using Instance-Level Weighted Adversarial Learning
Publication Year: 2021,Page(s):7445 - 7455
Cited by: Papers (157)
Data-driven machinery fault diagnosis methods have been successfully developed in the past decades. However, the cross-domain diagnostic problems have not been well addressed, where the training and testing data are collected under different operating conditions. Recently, domain adaptation approaches have been popularly used to bridge this gap, which extract domain-invariant features for diagnost...Show More
Severity Assessment of COVID-19 Based on Feature Extraction and V-Descriptors
Publication Year: 2021,Page(s):7456 - 7467
Cited by: Papers (16)
Digital image feature recognition is significant to industrial information applications, such as bioengineering, medical diagnosis, and machinery industry. In order to supply an effective and reasonable technology of the severity assessment mission of coronavirus disease (COVID-19), in this article, we propose a new method that identifies rich features of lung infections from a chest computed tomo...Show More
Flexible Worker Allocation in Aircraft Final Assembly Line Using Multiobjective Evolutionary Algorithms
Pengcheng Fang;Jianjun Yang;Qingmiao Liao;Ray Y. Zhong;Yuchen Jiang
Publication Year: 2021,Page(s):7468 - 7478
Cited by: Papers (23)
In a paced aircraft final assembly line, some disturbances can be collected timely on the basis of the cyber-physical production system. In order to reduce the execution deviation, some workers need to switch among stations after a fixed period. Thus, a worker allocation problem with the multistage workstation is introduced first. Then, an integer programming formulation is presented to formulate ...Show More
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