Machine intelligence in mechanical engineering /

Machine Intelligence in Mechanical Engineering explains the latest applications of machine intelligence and data-driven decision-making in mechanical engineering industries. By providing introductory theory, trouble-shooting case studies, detailed algorithms and implementation instructions, this int...

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Bibliographic Details
Corporate Author:	ScienceDirect (Online service)
Other Authors:	Palanikumar, K. (Editor), Natarajan, Elango (Editor), Ramesh, S. (Editor), Davim, J. Paulo (Editor)
Format:	eBook
Language:	English
Published:	Cambridge, MA : Woodhead Publishing, 2024.
Series:	Woodhead Publishing reviews: Mechanical engineering series
Subjects:	Mechanical engineering > Data processing. Machine learning. Génie mécanique > Informatique. Apprentissage automatique. Electronic books.
Online Access:	Connect to the full text of this electronic book

Description
Summary:	Machine Intelligence in Mechanical Engineering explains the latest applications of machine intelligence and data-driven decision-making in mechanical engineering industries. By providing introductory theory, trouble-shooting case studies, detailed algorithms and implementation instructions, this interdisciplinary book will help readers explore additional applications in their own fields. Those with a mechanical background will learn the important tasks related to preprocessing of datasets, feature extraction, verification and validation of machine learning models which unlock these new methods. Machine Intelligence is currently a key topic in industrial automation, enabling machines to solve complex engineering tasks and driving efficiencies in the smart production line. Smart preventative maintenance systems can prevent machine downtime, smart monitoring and control can produce more effective workflows with less human intervention.
Item Description:	Includes index.
Physical Description:	1 online resource (xix, 429 pages) : illustrations.
ISBN:	9780443186455 0443186456