Data Driven Smart Manufacturing Technologies and Applications

Weidong Li (Curatore)

Yuchen Liang (Curatore)

Springer Nature Switzerland AG, 2022

This book reports innovative deep learning and big data analytics technologies for smart manufacturing applications. In this book, theoretical foundations, as well as the state-of-the-art and practical implementations for the relevant technologies, are covered. This book details the relevant applied research conducted by the authors in some important manufacturing applications, including intelligent prognosis on manufacturing processes, sustainable manufacturing and human-robot cooperation. Industrial case studies included in this book illustrate the design details of the algorithms and methodologies for the applications, in a bid to provide useful references to readers.  Smart manufacturing aims to take advantage of advanced information and artificial intelligent technologies to enable flexibility in physical manufacturing processes to address increasingly dynamic markets. In recent years, the development of innovative deep learning and big data analytics algorithms is dramatic. Meanwhile, the algorithms and technologies have been widely applied to facilitate various manufacturing applications. It is essential to make a timely update on this subject considering its importance and rapid progress.  This book offers a valuable resource for researchers in the smart manufacturing communities, as well as practicing engineers and decision makers in industry and all those interested in smart manufacturing and Industry 4.0.

• Curatore: Weidong Li, Yuchen Liang
• Editore: Springer Nature Switzerland AG
• Collana: Springer Series in Advanced Manufacturing
• Anno: 2022
• Rilegatura: Paperback / softback
• Pagine: 218 p.
• Dimensioni: 235 x 155 mm
• EAN: 9783030668518

Testo in English