Smart Monitoring of Rotating Machinery for Industry 4.0 (eBook)

Fakher Chaari, Xavier Chiementin, Radoslaw Zimroz, Fabrice Bolaers, Mohamed Haddar (Herausgeber)

eBook Download: PDF

2021 | 1st ed. 2022
VI, 178 Seiten
Springer International Publishing (Verlag)
978-3-030-79519-1 (ISBN)

Infos

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.

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, 

Wroclaw University of Technology, Faculty of Geo Engineering. Mining and Geology, Wroclaw, 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

Produkt-Details

• Erscheint lt. Verlag: 20.8.2021
• Reihe/Serie: Applied Condition Monitoring
• Reihe/Serie: Applied Condition Monitoring
• Zusatzinfo: VI, 178 p. 107 illus., 100 illus. in color.
• Sprache: englisch
• Themenwelt: Technik ► Bauwesen
• Themenwelt: Technik ► Elektrotechnik / Energietechnik
• Themenwelt: Technik ► Maschinenbau
• Schlagworte: Algebraic estimator • Bevel gear modelling • Canonical Variate Analysis • Damping failure analysis • Deep Learning for smart monitoring • Gearbox monitoring • Helicoidal gear • Intelligent Prognostic Systems • Jerk monitoring • Machine learning for condition monitoring • Machinery in Non-Stationary Operations • Model Based Fault Diagnosis • Probability density evolution • Reliability Analysis • Remaining Useful Life • Rolling bearing fault • Rotating Machine • Smart health monitoring
• ISBN-10: 3-030-79519-5 / 3030795195
• ISBN-13: 978-3-030-79519-1 / 9783030795191