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. 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. By providing introductory theory, trouble-shooting case studies, detailed algorithms and implementation instructions this interdisciplinary book will help readers to 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. Examines a range of transfer printing technologies and their specific features for different applications Highlights breakthrough results and systems enabled by novel TP techniques Offers an insightful outlook on trends and future directions in each sub-area of transfer printing