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OverviewThis book details how artificial intelligence and other informatic methods can be applied to the field of tribology. Using problems often found within tribological condition monitoring, behaviour prediction, system optimization and mechanism analysis, the book covers methods used such as Artificial Neural Networks (ANN). Including case studies throughout, the book offers an accessible introduction to tribological research, beginning with background on the theory behind tribo-informatics, and updates in the latest technology. It describes how to establish a tribo-informatics database, methods through which to express tribo-systems such as Artificial Neural Networks (ANN), Support Vector Machines (SVM), K-Nearest Neighbor (KNN), and Random Forest (RF), and its applications. It can be used in state monitoring, behaviour prediction and system optimization. Through case studies, practical examples of how tribo-informatics can be implemented are shown throughout various industries. This book will be of interest to students and researchers in the field of tribology, friction, wear and artificial intelligence. Full Product DetailsAuthor: Zhinan Zhang (Shanghai Jiao Tong University, China) , Nian Yin (Shanghai Jiao Tong University, China)Publisher: Taylor & Francis Ltd Imprint: CRC Press Weight: 1.290kg ISBN: 9781032739038ISBN 10: 1032739037 Pages: 220 Publication Date: 11 April 2024 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: Not yet available  This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release. Table of ContentsReviewsAuthor InformationZhinan Zhang He received his Ph.D. in Shanghai Jiao Tong University. From 2011 to 2013, he worked as a Postdoc in Shanghai Jiao Tong University. He is currently a professor at the School of Mechanical Engineering, Shanghai Jiao Tong University. His research interests include tribo-informatics, contact electrification, computational design, and analysis of tribo-systems. Nian Yin He received his B.S. degree and M.D. in mechanical engineering in 2017 and 2020, respectively, from Shanghai Jiao Tong University, Shanghai, China. He is now working as a Ph.D. student at the School of Mechanical Engineering, Shanghai Jiao Tong University. His research focuses on the computational design of materials, contact electrification, and development of tribology testing machine Tab Content 6Author Website:Countries AvailableAll regions |
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