Presents the front cover for this issue of the publication.

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Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.

The articles in this special section focus advancements in mining automation technologies.

Presents the President’s message for this issue of the publication.

Today, electrical traction constitutes the most successful railway technology, but during the 19th century, the situation was quite different. Steam, produced by burning coal, was the dominant energy vector for transportation. Steam railways experienced a period of sensational development from 1830 to 1875, with frenetic construction in the Western world, and by the last quarter of the century, they

Presents information on the Fourth IEEE International Conference On Industrial Cyber-Physical Systems.

Presents information on the IES ICPS 2021 Conference.

Presents information on the IES Standards Technical Committee upcoming seminars.

Reports on IES society Distinguished Lecturer series in Wuhan, China.

Presents information on the IEEE Spanish joiint PELS-IES online workshops.

Reports on how the "virtual Covid-19 reality" has and will continue to impact professional meetings, conferences, seminars, and education classes.

Presents a profile of Professor Maria Ines Valla.

Recounts the career and contributions of Braham Ferreira and Akira Nabae.

This book discusses silicon and wide bandgap (WBG) semiconductor-based devices. After the preface, it includes 14 carefully selected chapters to cover recent trends in WBG semiconductors, with the following subjects: power electronics challenges, junction diodes, Si MOSFETs, Si IGBTs, SiC MOSFETs, GaN transistors, module design and reliability, switching cell design, and prospects and outlooks for

Presents the IES society calendar of upcoming events and meetings.

Presents the front cover for this issue of the publication.

Presents the table of contents for this issue of the publication.

Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.

Presents the introductory editorial for this issue of the publication.

Presents the President's message for this issue of the publication.

Presents information on the 22nd IEEE International Conference on Industrial Technology.

Presents information on IES Technical Activities programs.

Presents information on an award presented to Prof. Okyay Kaynak.

Presents information on various IES Society chapters.

Presents information on the Women in the IEEE Industrial Electronics Society Workshop.

This book describes describes applications of machine learning techniques to maximum power point tracking (MPPT), PV-cell design and sizing, and hybridmodule design and modeling. PV-cell parameter extraction and estimation are proposed using moth–flame and chaotic optimization or deterministic and metaheuristic global optimization algorithms. Neuro-fuzzy inference systems (ANFIS) and a particle swarm

This lart, 1,108-page book is the second extended edition of the popular book published by Academic Press in 2006. This new edition is inspired by the continuous development of power electronic systems, which—as noted by Prof. Bose—are the basis of the era of the third revolution of the 21st century and of the development of our civilization in general. This is due to the observed encroachment of power

Presents the IES society calendar of upcoming events and meetings.

Around the world, there are some complex orebodies that necessitate truly "manless" operations to facilitate the safe economic extraction of ore in certain mining zones. This is called "zero entry mining," because no human need enter the mining zone. Zero entry mining has the potential to significantly enhance the value of marginal or unrecoverable ore reserves and turn significant quantities of mineral

Presents the front cover for this issue of the publication.

Presents the table of contents for this issue of the publication.

Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.

Presents the introductory editorial for this issue of the publication.

Presents the President’s message for this issue of the publication.

Industrial electronics (IE) covers a wide range of technologies and applications, being a key enabling technology for numerous industrial, domestic, and biomedical uses, among others. In this context, IE education has become a relevant and challenging topic for society and industry. This article covers its evolution and state-of-the-art methodologies and provides an overall view of its status around

Reports on news of interest to IES society members.

Presents information on various IES Society chapters.

Reports on news of interest to IES society Young Professionals.

Reports on news of interest to female engineers.

Presents the IES society calendar of upcoming events and meetings.

Although circuit theory is fundamental in the study and design of electric systems for both information and power applications, its history has seldom been told in the scientific literature. This article is an attempt to fill that gap, at least partially, by surveying its development up to circa 1924, i.e., mainly in the preclassical period, according to Herbert Carlin's definition [1]. Short biographical

Exposure to environmental noise has harmful effects on human health for both physiological and mental aspects, such as annoyance, sleep disorders, cardiovascular disease, or even permanent hearing impairment. This problem is further exacerbated in industrial environments, where millions of workers are exposed to occupational noise. Therefore, noise mapping is essential and the first step to solving

Indoor positioning systems provide positioning capability to a wide array of applications. Although indoor positioning, in general, is challenging, harsh industrial environments pose unique challenges to wireless positioning, particularly in underground mining. This article reviews the state of the art of wireless positioning in underground mines. The requirements for key uses cases and the suitability

Integration platforms and digital twins are emerging as key enabling technologies for the lifecycle management of an entire industrial operation. An overview of their potential application in the mining industry is presented with recommendations on how to scope and implement pilot projects.

Electrification has been a key component of technological progress and economic development since the industrial revolution. It has improved living conditions, spurred innovation, and increased efficiency across all sectors of our economy and all aspects of our lives. During the coming decades, electrification is expected to reach further and deeper into the transportation, building, and industry sectors

This article presents a review of the current status of automation in the mining industry using mainly Australian examples and outlines a possible future trajectory for the technology. Automation in various guises has been around for centuries. It was in the industrial sector in the 20th century, however, when automation was vigorously adopted. With the advent of the Fourth Industrial Revolution, the

Mining companies have been adopting new digital capabilities, leading to a more integrated and collaborative network-centric mine. The case is made for improving the way the mining industry develops and adopts interoperability standards, integration platforms, and digital twins. Despite a series of recent initiatives assessing the options for open interoperability, the pace of change has been slow

One of the main challenges of human space exploration is the development of artificial ecosystems, which can be used as life support systems (LSSs) to enable long-duration human space missions. In an open LSS, no food generation or waste treatment is provided in space, and supplies from Earth are necessary. According to Figure 1, considering the approximate metabolic consumables and hygiene water as

In this article, we study edge artificial intelligence (AI) for industrial Internet of Things (IIoT) applications. We discuss edge AI technology, which is considered the combination of AI with edge computing, and provide an overview of edge AI applications for IIoT networks, where the following three challenges are important to address: 1) personalization, 2) responsiveness, and 3) privacy preservation

Deep learning has greatly increased the capabilities of "intelligent" technical systems over the last years [1]. This includes the industrial automation sector [1]-[4], where new data-driven approaches to, for example, predictive maintenance [2], computer vision [3], or anomaly detection [4], have resulted in systems more easily and robustly automated than ever before.

The IEEE Industrial Electronics Society (IES) Technical Committee (TC) Cluster of Energy was established at the 44th Annual Conference of the IEEE Industrial Electronics Society, 21-23 October 2018, in Washington, D.C. The worldwide challenges of energy shortage and global warming urgently require innovations in the energy field [1]. Applicationoriented multidisciplinary approaches are the key to addressing

The Industrial Revolution, which originally involved the change from an agrarian and handicraft economy to a market dominated by factory mechanization during the early 18th century, has profoundly shaped the world. It has progressed through four disruptive phases: Industry 1.0 through Industry 4.0. Industry 1.0 encompassed early automation, while Industry 2.0 began at the end of the 19th century, when

The field of industrial electronics has evolved profoundly during recent decades, hand in hand with smart systems, enabling the development of new functionalities. It is now common for robots to perform many previously burdensome tasks and operate in collaboration with humans. Miniaturized sensors, which are capable of extracting industrial process data with high levels of accuracy and robustness,

The industrial electronics (IE) discipline includes a wide variety of technical areas devoted to the application of electronics and electrical sciences for the enhancement of industrial and manufacturing processes. It inherently acts as a key enabling technology for a diverse number of applications and includes the latest developments in intelligent and computer control systems, robotics, factory communications

Google's Director of Research Peter Norvig said, "We don't have better algorithms than anyone else; we just have more data." This inspiring statement shows that having more data is directly related to better decision making and foresight about the future. With the development of Internet of Things (IoT) technology, it is now much easier to gather data. Technological tools, such as social media websites

The battery is probably the most commonly used power supply for electronic devices. However, batteries are gradually becoming insufficient for powering many of the emerging devices that have started to dominate our lives, such as portable electronics, wearable smart devices, and wireless sensor networks. The general reason for this insufficiency is the high cost of replacing the batteries. Take the

In this article, we present an overview of sliding mode control (SMC) and its applications in power converters. Owing to the distinguished features such as fast dynamic response, robustness, order reduction, and implementation simplicity, SMC is widely studied in power converters. First, we briefly review SMC design. Then, we compare the classical current control and SMC methods for a grid-connected

Robots have been part of automation systems for a very long time, and in public perception, they are often synonymous with automation and industrial revolution perse. Fueled by Industry 4.0 and Internet of Things (IoT) concepts as well as by new software technologies, the field of robotics in industry is currently undergoing a revolution on its own. This article gives an overview of the evolution of

The impact of low-carbon technologies, like renewable energies and electric vehicle (EV) charging stations, will be an additional strain in terms of voltage violation and current congestion on the low-voltage network, resulting in a reduced quality of supply and overheating assets. To avoid or defer the replacement of these traditional assets, the network of the future needs an intelligent solution