Front Matter: Intelligent Analytics for Predictive Maintenance

Anandan, R. and Gopalakrishnan, Suseendran and Pal, Souvik and Zaman, Noor (2022) Front Matter: Intelligent Analytics for Predictive Maintenance. In: The Industrial Internet of Things (IIoT). Wiley. ISBN 9781119769026

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Abstract

INDUSTRIAL INTERNET OF THINGS (IIOT) 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.

Item Type: Book Section
Subjects: Computer Science > Database Management System
Divisions: Computer Science
Depositing User: Mr IR Admin
Date Deposited: 07 Oct 2024 10:19
Last Modified: 07 Oct 2024 10:19
URI: https://ir.vistas.ac.in/id/eprint/9353

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