The present invention suggests a tire durability evaluation device and a method using machine learning that enables quantitative analysis of effects of environment and vehicle conditions on tires. The presented device includes: an input unit for receiving tire environment variables; an evaluation unit that assigns a weight value for each tire environmental variable, scores the same according to an evaluation formula, performs machine-learning learning based on scored data, and then predicts and evaluates tire durability based on the machine-learning learning result; and a result output unit that calculates and outputs the tire durability prediction evaluation score based on the evaluation result from the evaluation unit.

    환경과 차량조건이 타이어에 미치는 영향에 대한 정량적 분석이 가능하도록 하는 머신러닝을 이용한 타이어 내구도 평가 장치 및 방법을 제시한다. 제시된 장치는 타이어 환경 변수를 입력받는 입력부; 상기 타이어 환경 변수별로 비중값을 두어 평가식에 따라 점수화하고, 점수화된 데이터를 근거로 머신러닝 학습을 수행한 후, 머신러닝 학습의 결과를 근거로 타이어 내구도를 예측 평가하는 평가부; 및 상기 평가부에서의 평가 결과에 근거하여 타이어 내구도 예측 평가점수를 산출한 후에 출력하는 결과 출력부;를 포함한다.


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    Title :

    Apparatus and method for evaluating tire durability using machine learning


    Additional title:

    머신러닝을 이용한 타이어 내구도 평가 장치 및 방법


    Contributors:

    Publication date :

    2022-05-18


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Korean


    Classification :

    IPC:    G01M TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES , Prüfen der statischen oder dynamischen Massenverteilung rotierender Teile von Maschinen oder Konstruktionen / B60C VEHICLE TYRES , Fahrzeugreifen



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