Industrial Internet of Things (IIoT): Intelligent Analytics for Predictive Maintenance (Advances in Learning Analytics for Intelligent Cloud-iot Systems) - Hardcover

Über die Autorin bzw. den Autor

R. Anandan, PhD completed his degree in Computer Science and Engineering, is an IBMS/390 Mainframe professional, is recognized as a Chartered Engineer from the Institution of Engineers in India, and received a fellowship from Bose Science Society, India. He is a professor in the Department of Computer Science and Engineering, School of Engineering, Vels Institute of Science, Technology & Advanced Studies (VISTAS), Chennai, Tamil Nadu, India. He has published more than 110 research papers in various international journals, authored 9 books in the computer science and engineering disciplines, and has received 13 awards.

G. Suseendran, PhD received his degree in Information Technology-Mathematics from Presidency College, University of Madras, Tamil Nadu, India. He passed away during the production of this book.

Souvik Pal, PhD is an associate professor in the Department of Computer Science and Engineering at Sister Nivedita University (Techno India Group), Kolkata, India. Dr. Pal received his PhD in the field of computer science and engineering. He is the editor/author of 12 books and has been granted 3 patents. He is the recipient of a Lifetime Achievement Award in 2018.

Noor Zaman, PhD completed his degree in IT from University Technology Petronas (UTP) Malaysia. He has authored many research papers in WoS/ISI indexed and impact factor research journals and edited 12 books in computer science.

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This book discusses how the industrial internet will be augmented through increased network agility, integrated artificial intelligence (AI) and the capacity to deploy, automate, orchestrate, and secure diverse user cases at hyperscale.

Since the internet of things (IoT) dominates all sectors of technology, from home to industry, automation through IoT devices is changing the processes of our daily lives. For example, more and more businesses are adopting and accepting industrial automation on a large scale, with the market for industrial robots expected to reach $73.5 billion in 2023. The primary reason for adopting IoT industrial automation in businesses is the benefits it provides, including enhanced efficiency, high accuracy, cost-effectiveness, quick process completion, low power consumption, fewer errors, and ease of control.

The 15 chapters in the book showcase industrial automation through the IoT by including case studies in the areas of the IIoT, robotic and intelligent systems, and web-based applications which will be of interest to working professionals and those in education and research involved in a broad cross-section of technical disciplines.

The volume will help industry leaders by

• Advancing hands-on experience working with industrial architecture
• Demonstrating the potential of cloud-based Industrial IoT platforms, analytics, and protocols
• Putting forward business models revitalizing the workforce with Industry 4.0.

Audience

Researchers and scholars in industrial engineering and manufacturing, artificial intelligence, cyber-physical systems, robotics, safety engineering, safety-critical systems, and application domain communities such as aerospace, agriculture, automotive, critical infrastructures, healthcare, manufacturing, retail, smart transports, smart cities, and smart healthcare.