Xavier Marduel

Title: Xavier Marduel and Tire-Wear Estimation Innovation.

Introduction

Xavier Marduel is an inventor associated with Clermont-Ferrand, France, and Compagnie Generale des Etablissements Michelin. His patent work includes a method for estimating tire wear using vibroacoustic signals and machine learning.

Latest Patents

Marduel is credited with 1 patent: “Method for Estimating the State of Wear of a Tire.” The method records a vibroacoustic signal produced as a tire runs on a road, converts the signal from the time domain to the frequency domain, and divides the frequency range into bands. It uses data representing those bands to form a matrix, then applies machine learning trained on a database to predict the tire’s wear state. The method determines the state after the same prediction occurs a specified number of times within a series of consecutive predictions.

Career Highlights

Marduel’s listed invention applies signal processing and machine learning to tire-condition assessment. The approach is designed to estimate wear from vibrations generated during ordinary road use.

Collaborations

Marduel is associated with Compagnie Generale des Etablissements Michelin. His listed coworker is Melaine Guillou.

Conclusion

Xavier Marduel’s patent describes a data-driven approach to estimating tire wear by combining vibroacoustic measurements, frequency analysis, and repeated machine-learning predictions.