Maintenance Strategies

Probability Theory

Signal Sampling

Frequency Analysis

Time-Frequency Analysis

Angular resampling

Cyclostationary Analysis

Kinematics: Fault frequencies and characteristics (calculation example)

Envelope and Envelope Demodulation

Filtering (x-gram) [es. Kurtogram, autogram, ecc…]

Statistical indicators & Model based diagnostics 

Types of plants with rotating machines and their typical faults.

The most remarkable examples of rotating machines are considered in their "natural" environment, i.e. industrial plants.

Their faults are described, along with the typical symptoms.

Model based identification methods vs. AI methods.

Practical examples exploiting the pros and cons.

Role of Rotordynamics in the energy transition.

Extraction of features from signals with the Matlab Toolbox Diagnostic Features Designer: overview and examples 

Brief overview of the types of sensors available and their technologies

How to select the best type of sensor and measurement chain for the relevant needs

Advice on mounting methods and better choices for proper isolation. 

Application studies.

Wind Energy Overview

Wind Farm Asset Management and O&M

Reliability and Availability

Maintenance Strategies

Condition Monitoring: CMS and SCADA data

Fault detection and diagnosis using high frequency monitoring signals

Prognostics using SCADA Data 

Pump monitoring overview

Cavitation detection and diagnosis by vibro-acoustic measurements in positive displacement pumps

Performance monitoring of positive displacement pumps by numerical and experimental approaches

Wear monitoring and lubrication status in pumps 

Rattle in powertrain

Numerical model for rattle in powertrain

Rattle indexes

Experimental cases of powertrain monitoring  

Machine Learning & Deep Learning for diagnostics

Supervised methods for diagnostics

Anomaly detection

Transfer Learning for diagnostics & prognostics

Physics driven Machine Learning,

Examples of application of AI methods for monitoring of wind turbines, helicopters, rotating machinery

Application of machine learning and deep learning techniques for diagnostics using the Matlab environment and the corresponding toolboxes: overview and examples 

Advanced End-of-Line (EOL) test benches developed with Dewesoft technology, focusing on their role in condition monitoring.

Dewesoft's data acquisition systems offer unmatched precision in identifying potential issues before they escalate. 

Integration of condition monitoring within EOL test benches and its benefits

During this workshop,  participants will be divided into groups and they'll work on the diagnostics of a mechanical system. Results will be briefly presented at the end and the best team will be awarded.

We kindly ask the participants to bring their PC with them, possibly with MATLAB installed or other software for the processing of the data.

Hydropower Generators Industrial Standards for Vibration Monitoring

Absolute Supports Vibration (Accelerations): Standard vs High-Level Features

Relative Vibrations (Shaft Displacements): Orbital analysis

Coast-Down measurement analysis: Viscous friction experimental identification.

Temperature dependence 

Overview of the techniques for fault diagnosis in electric motors.

Electro-mechanical problems in induction motors (Motor out-of-magnetic center, Broken bars, Turn-to-turn shorts in the stator windings, Supply frequency, Siren effect, Overloading) 

Overview of physics-based approaches for prognostics

Modeling of defective bearings

Physics-based prognostics of rolling element bearings