• Proceedings of the Korean Society of Precision Engineering Conference
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• 2003.10a
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• pp.207-207
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• 2003

• Proceedings of the KIEE Conference
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• 2003.07d
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• pp.2477-2479
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• 2003

본 연구에서는 타이어의 중량 불균일 측정을 위한 메카니즘의 모델링 및 분석을 통해 로드셀에 의해 샘플링된 신호를 해석하여 불균일량을 측정하는 방법을 제안한다. 진동역학적인 모델을 근거로 신호의 변환과 영향계수의 산출을 통해 정확한 불균형량 측정을 가능하게 하였다.

• Journal of Korea Society of Industrial Information Systems
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• v.23 no.6
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• pp.21-27
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• 2018

Wearing degree and uneven wearing detection algorithm using horizontal edge information is proposed in this paper. The noise in the input image is removed by bilateral filter, and then edges are extracted from the filtered image by using the proposed mask. As the tire is worn, grooves of tire shoulder or sipes are changed more than the vertical grooves. Therefore the edges from grooves of tire shoulder or sipes have more information about the tire wearing than the edges from vertical grooves. Proposed mask that is reflected this feature is used to extract the horizontal edges. After edge extraction, the edge image is represented in two-level system. The edge pixels of the binarization image are used to decide the wearing degree and uneven wearing. This proposed method can be used easily without any other equipments. The proposed method is conducted with a real vehicle, and the experimental results show the good performance of the proposed method in detecting wearing degree and uneven wearing.