Prof. Fakher Chaari, National School of Engineers of Sfax, Mechanics Modelling & Production Lab, Sfax, TunisiaProf. Xavier Chiementin, University of Reims Champagne-Ardenne, Institut de Thermique, Mécanique,Reims, FranceProf. Radoslaw Zimroz, Wrocław University of Technology, Faculty of Geo Engineering. Mining and Geology, Wrocław, PolandProf. Fabrice Bolaers, University of Reims Champagne-Ardenne, Institut de Thermique, Reims, FranceProf. Mohamed Haddar, National School of Engineers of Sfax, Sfax, Tunisia

• 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.

Prof. Fakher Chaari, National School of Engineers of Sfax, Mechanics Modelling & Production Lab, Sfax, TunisiaProf. Xavier Chiementin, University of Reims Champagne-Ardenne, Institut de Thermique, Mécanique,Reims, FranceProf. Radoslaw Zimroz, Wrocław University of Technology, Faculty of Geo Engineering. Mining and Geology, Wrocław, PolandProf. Fabrice Bolaers, University of Reims Champagne-Ardenne, Institut de Thermique, Reims, FranceProf. Mohamed Haddar, National School of Engineers of Sfax, Sfax, Tunisia

• 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.

Prof. Fakher Chaari, National School of Engineers of Sfax, Mechanics Modelling & Production Lab, Sfax, TunisiaProf. Xavier Chiementin, University of Reims Champagne-Ardenne, Institut de Thermique, Mécanique,Reims, FranceProf. Radoslaw Zimroz, Wrocław University of Technology, Faculty of Geo Engineering. Mining and Geology, Wrocław, PolandProf. Fabrice Bolaers, University of Reims Champagne-Ardenne, Institut de Thermique, Reims, FranceProf. Mohamed Haddar, National School of Engineers of Sfax, Sfax, Tunisia

• 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.