KEVIN OKTAVIAN, MOHAMMAD ARMY (2023) STUDI PHOTOVOLTAIC CELL FAILURE DETECTION MENGGUNAKAN METODE ELECTROLUMINESCENCE BERBASIS PENGOLAHAN CITRA. S1 thesis, Fakultas Teknik Universitas Sultan Ageng Tirtayasa.
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Abstract
There are various kinds of damage to photovoltaic cells that cause a decrease in quality, one of which is a crack in the photovoltaic cell. Invisible photovoltaic cell cracks can be seen using the electroluminescence method, by entering power according to the photovoltaic cell specifications in a forward bias manner and captured by a modified DSLR camera by removing the IR cutfilter on the camera. Determining the type of crack using image processing with the YOLO v3 algorithm. The detection accuracy results obtained are 97,30% photovoltaic cell, 92,22% micro crack, 70,77% several direction crack, and 93,66% cross crack. The results of the output comparison on the photovoltaic cell get a reduction in Voc of 9% to18.4%, and Isc of 23.45% to 29.8%.
| Item Type: | Thesis (S1) | ||||||
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| Additional Information: | Kerusakan pada photovoltaic cell yang menyebabkan penurunan kualitas terdapat berbagai macam, salah satunya ialah crack pada photovoltaic cell. Crack photovoltaic cell yang tak kasat mata dapat dilihat menggunakan metode electroluminescence, dengan memasukan daya sesuai dengan spesifikasi photovoltaic cell secara forward bias dan ditangkap kamera DSLR yang dimodifikasi dengan cara melepas IR cutfilter pada kamera. Menentukan jenis crack menggunakan pengolahan citra dengan algoritma YOLO v3. Hasil akurasi pendeteksian yang didapatkan ialah 97,30% photovoltaic cell, 92,22% micro crack, 70,77% several direction crack, dan 93,66% cross crack. Hasil perbandingan output pada photovoltaic cell mendapatkan hasil penurunan Voc sebesar 9% sampai 18,4%, dan Isc sebesar 23,45% sampai 29,8%. | ||||||
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering T Technology > TR Photography |
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| Divisions: | 03-Fakultas Teknik 03-Fakultas Teknik > 20201-Jurusan Teknik Elektro |
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| Depositing User: | Mr. Mohammad Army Kevin Oktavian | ||||||
| Date Deposited: | 20 Sep 2023 14:07 | ||||||
| Last Modified: | 20 Sep 2023 14:07 | ||||||
| URI: | http://eprints.untirta.ac.id/id/eprint/29784 |
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