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This book offers an overview of current methods for the intelligent monitoring of rotating machines. It describes the foundations of smart monitoring, guiding readers to develop appropriate machine learning and statistical models for answering important challenges, such as the management and analysis of a large volume of data. It also discusses real-world case studies, highlighting some practical issues and proposing solutions to them. The book offers extensive information on research trends, and innovative strategies to solve emerging, practical issues. It addresses both academics and…mehr

Produktbeschreibung
This book offers an overview of current methods for the intelligent monitoring of rotating machines. It describes the foundations of smart monitoring, guiding readers to develop appropriate machine learning and statistical models for answering important challenges, such as the management and analysis of a large volume of data. It also discusses real-world case studies, highlighting some practical issues and proposing solutions to them. The book offers extensive information on research trends, and innovative strategies to solve emerging, practical issues. It addresses both academics and professionals dealing with condition monitoring, and mechanical and production engineering issues, in the era of industry 4.0.
Autorenporträt
Prof. Fakher Chaari,  National School of Engineers of Sfax, Mechanics Modelling & Production Lab, Sfax, Tunisia Prof. Xavier Chiementin,  University of Reims Champagne-Ardenne, Institut de Thermique, Mécanique,Reims, France Prof. Radoslaw Zimroz,  Wroc¿aw University of Technology, Faculty of Geo Engineering. Mining and Geology, Wroc¿aw, Poland Prof. Fabrice Bolaers,  University of Reims Champagne-Ardenne, Institut de Thermique, Reims, France Prof. Mohamed Haddar,  National School of Engineers of Sfax, Sfax, Tunisia