Dynamic Modeling of Mechanical Systems

Volumetric pumps are key in automotive systems due to their compact size, reliability, and efficiency. Research focuses on improving design processes through analytical, experimental, and numerical tools, with expertise in performance testing and NVH analysis. Key areas include advanced modeling of gear dynamics, fluid-dynamic behavior in gear and vane pumps, and dynamic modeling of rotating machines using various computational methods. Automotive subsystems are a primary focus, with proprietary software development for advanced simulations. 

Multi-axis Dynamic Tests

MIMO vibration tests replicate operational vibration environments using multi-axis shakers, overcoming the limitations of single-axis tests but requiring advanced technology. They aim to control full spectral density matrices (PSDs and CSDs), though often only PSD data is provided. Research focuses on automated methods to define MIMO reference matrices without operational data. Accelerated multi-axis tests improve reliability and better replicate real conditions compared to standard single-axis methods. 

Diagnostics of Rotating Machines

The diagnosis of impulsive faults in rotating machines, particularly gears and bearings, is challenging due to noise and transmission path effects. Research focuses on improving blind deconvolution methods by integrating Cyclostationarity concepts and high-order statistics to enhance fault detection in non-stationary conditions. Key efforts include advanced diagnostics for planetary and bevel gear systems, leveraging machine learning to refine techniques, and developing standards for signal analysis and validation of new diagnostic methods.