AI-powered system for predicting tread patterns of abstract lengths

FR3168790A1Pending Publication Date: 2026-05-29MICHELIN & CO (CIE GEN DES ESTAB MICHELIN)
3 Cites 0 Cited by

Patent Information

Application Number
FR2024013084
Authority / Receiving Office
FR · FR
Patent Type
Applications
Current Assignee / Owner
Filing Date
2024-11-27
Publication Date
2026-05-29
Patent Text Reader

Abstract

Predicting the tire product profile exiting an extruder, as a function of extruder parameters (EXTRD), includes: - obtaining (221) a contextual profile (PL, PT); - decomposing the contextual profile (223) into iterations of a sliding window (FGi) traversing the contextual profile over a set of iterations (FGtot), each iteration of the window (FGi) being centered on a point of interest (Pi) and including at least one point behind (Pi-1) and at least one point in front of the point of interest (Pi+1); - the use of a learning model (225) trained to predict a point of interest (Pi) of a real profile (PR) as a function of a window (FGi) of a contextual profile (PL, PT) centered on the point of interest (Pi), recursively (RCR) over said iteration set so as to obtain a prediction of the entire real profile (226). Figure for the abstract: Fig 2B
Need to check novelty before this filing date? Find Prior Art

Citation Information

Patent Citations

  • System and method for analyzing tire tread parameters

    US20160033368A1

  • System and process for automatic interface recognition in tire product profiles

    US20230281976A1

  • Method and system for manufacturing tire member

    WO2023188641A1