"New Trends in the Use of Artificial Intelligence for the Industry 4.0" ed. by Luis Romeral Martinez, Roque A. Osornio-Rios, Mi

This book contains high-quality chapters containing original research results and literature review of exceptional merit. 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.

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.


Contents
1.Trends of Digital Transformation in the Shipbuilding Sector
2.Energy Infrastructure of the Factory as a Virtual Power Plant: Smart Energy Management
3.Novel Methods Based on Deep Learning Applied to Condition Monitoring in Smart Manufacturing Processes
4.Smart Monitoring Based on Novelty Detection and Artificial Intelligence Applied to the Condition Assessment of Rotating Machinery in the Industry 4.0
5.AI for Improving the Overall Equipment Efficiency in Manufacturing Industry
6.Decision Support Models for the Selection of Production Strategies in the Paradigm of Digital Manufacturing, Based on Technologies, Costs and Productivity Levels
7.Developing Cognitive Advisor Agents for Operators in Industry 4.0
8.Current Transducer for IoT Applications
9.How the Data Provided by IIoT Are Utilized in Enterprise Resource Planning: A Multiple-Case Study of Three Change Projects
10.Big Data Analytics and Its Applications in Supply Chain Management