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Title: A Big Data Application in Manufacturing Industry-Computer Vision to Detect Defects on Bearings
Authors: Ünal, P.
Albayrak, O.
Kubatova, M.
Deveci, B.U.
Çırakman, E.
Koçal, C.I.
Özbayoğlu, A. Murat
Keywords: artificial intelligence
big data
computer vision
defect detection
image classification with localization
rolling bearings
Big data
Computer vision
Deep learning
Roller bearings
Surface defects
Bearing defect
Big data applications
Defect detection
Hardware platform
Image classification with localization
Images classification
Loss of time
Manufacturing industries
Rolling bearings
Image classification
Issue Date: 2022
Publisher: Institute of Electrical and Electronics Engineers Inc.
Abstract: In the contemporary rotating machinery, bearings are critical and indispensable parts. Early detection of rolling bearing defects carries crucial importance, because undetected defects on the rolling bearings may end in loss of time, resources, money and even lives. In parallel to the accelerated utilization of deep learning applications in the manufacturing industry, different studies have been conducted to determine and evaluate defects on the surfaces of rolling bearings. In this study, a new system, that contains a hardware platform and software components in order to detect surface defects of the metal rolling bearings has been developed. To detect defects, optic image data of the bearings were used, and then computer vision and artificial intelligence techniques were applied to them. In the system, TC-VISION, the source of big data is the platform designed and developed using the optical camera. The results of the applied CNN algorithms performed better than the targeted values with respect to several metrics. The F1 score obtained is close to 100%. The developed system is aimed to be enhanced further in order to develop a fully automated inspection and quality control system for metal rolling bearing systems appropriate for serial production in real industrial environments. © 2022 IEEE.
Description: Ankura;et al.;Hitachi;KPMG Consulting Co., Ltd.;NTT Data Intellilink Corporation;Think in Data Initiative, Association Inc
2022 IEEE International Conference on Big Data, Big Data 2022 -- 17 December 2022 through 20 December 2022 -- 186390
ISBN: 9781665480451
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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