Open access peer-reviewed Edited Volume

New Trends in the Use of Artificial Intelligence for the Industry 4.0

Edited by Luis Romeral Martinez

Technical University of Catalonia

Co-editors:

Roque A. Osornio-Rios

Autonomous University of Queretaro

Miguel Delgado Prieto

Technical University of Catalonia

Industry 4.0 is based on the cyber-physical transformation of processes, systems and methods applied in the manufacturing sector, and on its autonomous and decentralized operation. Industry 4.0 reflects that the industrial world is at the beginning of the so-called Fourth Industrial Revolution, characterized by a massive interconnection of assets and the integration of human operators with the manufacturing environment. In this regard, data analytics and, specifically, the artificial intelligence is the vehicular technology towards the next generation of smart factories.Chapters in this book cover a diversity of current and new developments in the use of artificial intelligence on the industrial sector seen from the fourth industrial revolution point of view, namely, cyber-physical applications, artificial intelligence technologies and tools, Industrial Internet of Things and data analytics. This book contains high-quality chapters containing original research results and literature review of exceptional merit. Thus, it is in the aim of the book to contribute to the literature of the topic in this regard and let the readers know current and new trends in the use of artificial intelligence for the Industry 4.0.

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New Trends in the Use of Artificial Intelligence for the Industry 4.0Edited by Luis Romeral Martinez

Published: March 25th 2020

DOI: 10.5772/intechopen.86015

ISBN: 978-1-83880-142-7

Print ISBN: 978-1-83880-141-0

eBook (PDF) ISBN: 978-1-83880-466-4

Copyright year: 2020

Books open for chapter submissions

172 Total Chapter Downloads

chaptersDownloads

Open access peer-reviewed

1. Trends of Digital Transformation in the Shipbuilding Sector

By Alejandro Sánchez-Sotano, Alberto Cerezo-Narváez, Francisco Abad-Fraga, Andrés Pastor-Fernández and Jorge Salguero-Gómez

23

Open access peer-reviewed

2. Energy Infrastructure of the Factory as a Virtual Power Plant: Smart Energy Management

By Eva M. Urbano and Víctor Martínez Viol

16

Open access peer-reviewed

3. Novel Methods Based on Deep Learning Applied to Condition Monitoring in Smart Manufacturing Processes

By Francisco Arellano Espitia and Lucia Ruiz Soto

20

Open access peer-reviewed

4. Smart Monitoring Based on Novelty Detection and Artificial Intelligence Applied to the Condition Assessment of Rotating Machinery in the Industry 4.0

By Saucedo-Dorantes Juan Jose, Jaen-Cuellar Arturo Yosimar and Elvira-Ortiz David Alejandro

14

Open access peer-reviewed

5. AI for Improving the Overall Equipment Efficiency in Manufacturing Industry

By Francesc Bonada, Lluís Echeverria, Xavier Domingo and Gabriel Anzaldi

21

Open access peer-reviewed

6. Decision Support Models for the Selection of Production Strategies in the Paradigm of Digital Manufacturing, Based on Technologies, Costs and Productivity Levels

By Joaquim Minguella-Canela and Irene Buj Corral

14

Open access peer-reviewed

7. Developing Cognitive Advisor Agents for Operators in Industry 4.0

By Alejandro Chacón, Cecilio Angulo and Pere Ponsa

20

Open access peer-reviewed

8. Current Transducer for IoT Applications

By Erik Leandro Bonaldi, Levy Ely de Lacerda de Oliveira, Germano Lambert-Torres, Luiz Eduardo Borges da Silva and Vitor Almeida Bernardes

16

Open access peer-reviewed

9. How the Data Provided by IIoT Are Utilized in Enterprise Resource Planning: A Multiple-Case Study of Three Change Projects

By Jyri Rajamäki and Petra Tuppela

18

Open access peer-reviewed

10. Big Data Analytics and Its Applications in Supply Chain Management

By Saeid Sadeghi Darvazeh, Iman Raeesi Vanani and Farzaneh Mansouri Musolu

20

Edited Volume and chapters are indexed in

  • Worldcat
  • OpenAIRE
  • Google Scholar
  • AZ ebsco
  • Base
  • CNKI

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