Art

J-GLOBAL ID：202102237136767235   Reference number：21A0246488

Defect Classification on Automobile Tire Inner Surfaces with Functional Classifiers

機能的分類器による自動車タイヤ内面の欠陥分類

Author (2)： TADA Hirotaro (Yokohama Rubber Co., Ltd., Kanagawa, JPN) ,  SUGIURAI Akihiko (Shizuoka Univ., Shizuoka, JPN)
Material： システム制御情報学会論文誌  (Transactions of the Institute of Systems, Control and Information Engineers)
Volume： 34  Issue： 1  Page： 1-10  Publication year： Jan. 2021 
JST Material Number： L0070A  ISSN： 1342-5668  Document type： Article
Article type： 原著論文  Country of issue： Japan (JPN)  Language： ENGLISH (EN)

Thesaurus term： computer ,  automobile ,  *tire ,  *internal surface ,  *classification ,  neural network(biomodel) ,  support vector machine ,  image ,  variation ,  machine learning ,  fault detection ,  accuracy
Semi thesaurus term： convolutional neural network ,  SVM ,  configuration change ,  fault detection ,  *defect classification ,  detection accuracy ,  convolutional neuralnetwork ,  sorter

JST classification (2)： Pattern recognition  (JE07000S) ,  Artificial intelligence  (JE08000Z)

Reference (16)：

• [1] T. Funatomi, M. Iiyama, K. Kakusho and M. Minoh: Light stripe triangulation for multiple moving objects; The IEICE Transactions on Information and Systems, Vol. J90-D, No. 8, pp. 1858-1867 (2007) (in Japanese)
• [2] E. Takahashi, N. Sakoda, T. Morimoto, T. Nonaka, S.Horiguchi and Y. Matsushita: Three dimensional profile measurement system for tire surface using ultra high speed image processing camera; <i>R&D Kobe Steel Engineering Reports</i>, Vol. 58, No. 2, pp. 62-66 (2008) (in Japanese)
• [3] E. Takahashi, K. Araki, N. Sakoda, H. Takeda, M. Murakami and Y. Matsubara: Tire surface-profile inspection system using information of “Tire KANAGATA (die) Design”; Transactions of Society of Automotive Engineers of Japan, Vol. 46, No. 1, pp. 213-218 (2015) (in Japanese)
• [4] T. Funahashi, T. Fujiwara, A. Kaneko and H. Koshimizu: Tire visual inspection of exterior thin defects-Defects feature measurement by using light stripe method enforced with rotation eccentricities suppression-; Journal of the Japan Society for Precision Engineering, Vol. 80, No. 12, pp. 1200-1205 (2014) (in Japanese)
• [5] Y. LeCun, L. Bottou, Y. Bengio and P. Haffner: Gradient-based learning applied to document recognition; Proceedings of the IEEE, Vol. 86, No. 11, pp. 2278-2324 (1998)

Terms in the title (3)： 分類器 ,  自動車タイヤ ,  欠陥分類