000			01729 a2200229 4500
003			OSt
005			20250228170831.0
008			250228b xxu||||| |||| 00| 0 eng d
020			_a9781032739038
040			_cIIT Kanpur
041			_aeng
082			_a621.89028563 _bZ61t
100			_aZhang, Zhinan
245			_aTribo-informatics _bthe systematic fusion of AI and Tribology _cZhinan Zhang and Nian Yin
260			_bCRC Press _c2024 _aBoca Raton
300			_aix, 219p
520			_a This 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.
650			_aTribology
650			_aArtificial intelligence
700			_aYin, Nian
942			_cBK
999			_c567403 _d567403