Elektrik Elektronik Mühendisliği Bölümü Tezleri

Permanent URI for this collectionhttps://hdl.handle.net/20.500.12416/2057

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Browsing Elektrik Elektronik Mühendisliği Bölümü Tezleri by Author "Mollaköy, Arda"

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    Citation Count: Arda Mollaköy (2019). Video based bearing inspection / Video tabanlı rulman final kontrolü. Yayımlanmış yüksek lisans tezi. Ankara: Çankaya Üniversitesi, Fen Bilimleri Enstitüsü.
    Video based bearing inspection
    (2019) Mollaköy, Arda; Çankaya Üniversitesi, Fen Bilimleri Enstitüsü, Elektrik Elektronik Mühendisliği Bölümü
    The production of bearings according to the standards directly affects the quality and life of both the bearings and the machines and components (such as gearbox, alternator) in which the bearings are used. Therefore, the final quality control stage in bearing production is of paramount importance. Visual quality control, which is the final stage of the bearing production line, is carried out by the skilled workers under bright light. The performance of quality audits depends on the experience of the auditors and the level of focus during the audit. In order to maintain a high level of focus, workers are employed in short and frequent shifts. However, even experienced workers can see quality control defects due to low focus levels. Consequently, the final product can be sent to the customer as defective. In order to improve this process and prevent the delivery of defective products, the shift in the visual control phase and thus the increase in the number of workers is a possible solution. However, it is clear that such a solution is not economic. Another option to solve this problem is to develop the machine vision based visual defect control system proposed in this thesis. Although similar systems are widely used in different industries, they are not yet at the desired efficiency in the bearing manufacturing industry. In this thesis, an image processing based quality control system that works on FPGA platform is developed to help visual quality control.