Overview

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.

Full Product Details

Author:   Fakher Chaari ,  Xavier Chiementin ,  Radoslaw Zimroz ,  Fabrice Bolaers
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2022
Volume:   19
Weight:   0.291kg
ISBN:  

9783030795214

ISBN 10:   3030795217
Pages:   178
Publication Date:   22 August 2022
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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. 

Reviews

Author Information

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

Tab Content 6

Author Website:  

Customer Reviews

Recent Reviews

No review item found!

Add your own review!

Countries Available

All regions