Smart Monitoring of Rotating Machinery for...

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Beschreibung

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.

Über den Autor

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

Zusammenfassung

Reports on intelligent methods for condition monitoring of rotating machinery

Presents strategies for managing large dataset in machine diagnostics

Offers a good balance of theoretical and practical issues

Inhaltsverzeichnis

Vulnerabilities and fruits of smart monitoring.- A tutorial on Canonical Variate Analysis for diagnosis and prognosis.- A structured approach to machine learning for condition monitoring.- A structured approach to machine learning for condition monitoring: a case study.- Dynamic Reliability Assessment of Structures and Machines Using the Probability Density Evolution Method.- Rotating machinery condition monitoring methods for applications with different kinds of available prior knowledge.- Model Based Fault Diagnosis in Bevel Gearbox.- Investigating the electro-mechanical interaction between helicoidal gears andan asynchronous geared motor.- Algebraic estimator of damping failure for au-tomotive Shock Absorber.- On the use of jerk for condition monitoring of gearboxes in non-stationary operations.- Dynamic remaining useful life estimation for a shaft bearings system.

Details

Erscheinungsjahr:	2021
Fachbereich:	Fertigungstechnik
Genre:	Technik
Rubrik:	Naturwissenschaften & Technik
Medium:	Buch
Reihe:	Applied Condition Monitoring
Inhalt:	vi 178 S. 7 s/w Illustr. 100 farbige Illustr. 178 p. 107 illus. 100 illus. in color.
ISBN-13:	9783030795184
ISBN-10:	3030795187
Sprache:	Englisch
Ausstattung / Beilage:	HC runder Rücken kaschiert
Einband:	Gebunden
Redaktion:	Chaari, Fakher Chiementin, Xavier Haddar, Mohamed Bolaers, Fabrice Zimroz, Radoslaw
Herausgeber:	Fakher Chaari/Xavier Chiementin/Radoslaw Zimroz et al
Auflage:	1st ed. 2022
Hersteller:	Springer International Publishing Springer International Publishing AG Applied Condition Monitoring
Maße:	241 x 160 x 16 mm
Von/Mit:	Fakher Chaari (u. a.)
Erscheinungsdatum:	21.08.2021
Gewicht:	0,448 kg

Artikel-ID: 120119011