Smart Monitoring of Rotating Machinery for Industry 4.0

1. Front Matter

   Pages i-vi

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2. Vulnerabilities and Fruits of Smart Monitoring

   • Jablonski Adam, Tomasz Barszcz

   Pages 1-9

3. A Tutorial on Canonical Variate Analysis for Diagnosis and Prognosis

   • Xiaochuan Li, Tianran Lin, David Mba

   Pages 11-31

4. A Structured Approach to Machine Learning Condition Monitoring

   • Luca Capelli, Giulia Massaccesi, Jacopo Cavalaglio Camargo Molano, Federico Campo, Davide Borghi, Riccardo Rubini et al.

   Pages 33-54

5. A Structured Approach to Machine Learning for Condition Monitoring: A Case Study

   • Jacopo Cavalaglio Camargo Molano, Federico Campo, Luca Capelli, Giulia Massaccesi, Davide Borghi, Riccardo Rubini et al.

   Pages 55-76

6. Dynamic Reliability Assessment of Structures and Machines Using the Probability Density Evolution Method

   • Sajad Saraygord Afshari, Ming J. Zuo, Xihui Liang

   Pages 77-101

7. Rotating Machinery Condition Monitoring Methods for Applications with Different Kinds of Available Prior Knowledge

   • Stephan Schmidt, P. Stephan Heyns

   Pages 103-115

8. Model Based Fault Diagnosis in Bevel Gearbox

   • Palash Dewangan, Dada Saheb Ramteke, Anand Parey

   Pages 117-133

9. Investigating the Electro-mechanical Interaction Between Helicoidal Gears and an Asynchronous Geared Motor

   • Safa Boudhraa, Alfonso Fernandez del Rincon, Mohamed Amine Ben Souf, Fakher Chaari, Mohamed Haddar, Fernando Viadero

   Pages 135-145

10. Algebraic Estimator of Damping Failure for Automotive Shock Absorber

    • Maroua Haddar, Riadh Chaari, S. Caglar Baslamisli, Fakher Chaari, Mohamed Haddar

    Pages 147-155

11. On the Use of Jerk for Condition Monitoring of Gearboxes in Non-stationary Operations

    • Fakher Chaari, Stephan Schmidt, Ahmed Hammami, P. Stephan Heyns, Mohamed Haddar

    Pages 157-167

12. Dynamic Remaining Useful Life Estimation for a Shaft Bearings System

    • Mohamed Habib Farhat, Fakher Chaari, Xavier Chiementin, Fabrice Bolaers, Mohamed Haddar

    Pages 169-178

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.

• Smart health monitoring
• Canonical Variate Analysis
• Machine learning for condition monitoring
• Model Based Fault Diagnosis
• Algebraic estimator
• Damping failure analysis
• Gearbox monitoring
• Machinery in non-stationary operations
• Remaining useful life
• Rolling bearing fault
• Deep Learning for smart monitoring
• Probability density evolution
• Reliability analysis
• Rotating machine
• Bevel gear modelling
• Helicoidal gear
• Jerk monitoring
• Intelligent Prognostic Systems

• Mechanics Modelling and Production Lab, National School of Engineers of Sfax, Sfax, Tunisia

  Fakher Chaari

• Institut de Thermique, Mécanique, et Matériaux (ITheMM EA7548), University of Reims Champagne-Ardenne, Reims, France

  Xavier Chiementin, Fabrice Bolaers

• Faculty of GeoEngineering Mining and Geology, Wrocław University of Technology, Wrocław, Poland

  Radoslaw Zimroz

• National School of Engineers of Sfax, Sfax, Tunisia

  Mohamed Haddar

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

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