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All Journal Jurnal Ilmu Komputer dan Informasi IPTEK Journal of Proceedings Series
Aulia M.T. Nasution
Laboratory Of Photonics Engineering, Engineering Physics Department, Institut Teknologi Sepuluh Nopember
Computer Science & IT

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SIMPLE EXPERT VISION SYSTEM FOR RECOGNITION OF BEARING'S DEFECTS Agustian K. Herdianta; Aulia M.T. Nasution
Jurnal Ilmu Komputer dan Informasi Vol 5, No 2 (2012): Jurnal Ilmu Komputer dan Informasi (Journal of Computer Science and Information)
Publisher : Faculty of Computer Science - Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1091.482 KB) | DOI: 10.21609/jiki.v5i2.188

Abstract

Defects on a bearing is usually determined by observing its vibration characteristics. This method unfortunately can not detect the visual defects on the inner and outer ring bearing surface. A pattern recognition is implemented in this paper to solve the problem. A backpropagation neural network architecture is used to recognize the visual defect pattern. This architecture is integrated in a digital image processing chain. Recognition rate of good bearing is obtained at 92.93 %, meanwhile for defected bearing is obtained at 75 % respectively. This rate shows integrated artificial neural network with digital image processing can be implemented to detect the presence of visual bearing defect. Cacat pada bearing biasanya ditentukan dengan mengamati karakteristik getaran. Metode ini sayangnya tidak dapat mendeteksi kecacatan visual pada permukaan dalam dan luar cincin bearing. Sebuah pengenalan pola diimplementasikan dalam paper ini untuk memecahkan masalah tersebut. Sebuah arsitektur jaringan saraf backpropagation digunakan untuk mengenali pola kecacatan visual. Arsitektur yang diusulkan ini terintegrasi dalam sebuah alir pengolahan citra digital. Tingkat pengenalan bearing yang baik adalah 92.93%, sedangkan untuk bantalan yang cacat adalah 75%. Angka ini menunjukkan integrasi jaringan syaraf tiruan dengan pengolahan citra digital dapat diterapkan untuk mendeteksi kecacatan visual pada bearing.
Distortion Inspection System Development of Rearview Mirror using Radial Line Method Based on Image Processing Detak Yan Pratama; Apriani Kusumawardhani; Aulia M T Nasution; Andi Rahmadiansyah; Achmadi Achmadi
IPTEK Journal of Proceedings Series No 1 (2015): 1st International Seminar on Science and Technology (ISST) 2015
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (133.971 KB) | DOI: 10.12962/j23546026.y2015i1.1130

Abstract

Quality control is one of the important steps in production process of rearview mirror industry. This activity can be in the form of product inspection. As an essential component of vehicle, rearview mirror must be observed especially in distortion assessment. During this time, the assessment of rearview mirror product is finished by experts. Thus, faults of inspection can be occurred. These faults could be caused by a decrease of accuracy which is an effect of eyes tiredness. The technique of image processing method is observed to solve this inspection problem. This study is proposed to construct the distortion inspection system on rearview mirror by using radial line method based on image processing.
Co-Authors Achmadi Achmadi Agustian K. Herdianta Andi Rahmadiansyah Apriani Kusumawardhani Detak Yan Pratama Detak Yan Pratama Hatta, Agus Muhamad Ika Puspita Iwan Cony Setiadi Muhammad Kamalul Wafi Sekartedjo Sekartedjo Septyaningrum, Erna