Iftikhar, Kulsoom and Anwar, Shahzad and Khan, Muhammad Tahir and Djawad, Yasser Abd (2019) An Intelligent Automatic Fault Detection Technique Incorporating Image Processing and Fuzzy Logic. In: 3rd International Conference on Mathematics, Sciences, Technology, Education and Their Applications, 29-30 September 2018, Makassar, Indonesia.
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Abstract
Fault detection is considered an important and challenging task to be incorporated in many industrial applications. It has gained interest in recent years, and many techniques have been proposed for developing an effective fault detection approach due to its significant importance in everyday life. This study presents an automated intelligent fault detection technique incorporating image processing and fuzzy logic. Image processing is the first step where features such as entropy estimation, color-based segmentation and depth estimation from gradients are obtained. The extracted features (number of {blobs, minima, maxima}, and estimated entropy) act as input to the fuzzy logic. The subsequent step incorporates fuzzy logic; the four inputs are fed to fuzzy which extract the fault and acts as knowledge rule-based tool and final step, i.e. the output generation, classifies it accordingly into four categories of faults (rust, bumps, hole, wrinkles/roller marks). The proposed method is compared with Linear Vector Quantization, and Multivariate Discriminant Function approaches. The method is tested on a database of 150 images. The proposed method demonstrated its significance and effectiveness with performance accuracy of 99%, 98%, 96.8% and 97.6% for rust, bumps, holes and wrinkles/roller marks respectively.
Item Type: | Conference or Workshop Item (Paper) |
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Uncontrolled Keywords: | fault detection, image processing, fuzzy logic |
Subjects: | FAKULTAS TEKNIK > Pendidikan Teknik Elektronika KARYA ILMIAH DOSEN Universitas Negeri Makassar > KARYA ILMIAH DOSEN |
Divisions: | KOLEKSI KARYA ILMIAH UPT PERPUSTAKAAN UNM MENURUT FAKULTAS > KARYA ILMIAH DOSEN KARYA ILMIAH DOSEN |
Depositing User: | Yasser Abd Djawad |
Date Deposited: | 02 Jun 2021 06:50 |
Last Modified: | 18 Jul 2021 03:27 |
URI: | http://eprints.unm.ac.id/id/eprint/20064 |
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