Prinanto, Arsy Yudha (2022) Diagnosis Kondisi Sistem Transmiter Magnetron Radar Cuaca Berbasis Kamera Termal Dan Neural Network. Masters thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Sistem transmiter magnetron merupakan salah satu komponen penting yang ada pada radar cuaca. Ketika sistem transmiter magnetron mengalami kerusakan, maka radar cuaca tidak akan bisa berfungsi dan data cuaca yang diperlukan pun tidak dapat dihasilkan. Pemonitoran kondisi dari sistem transmiter magnetron menjadi krusial untuk menjamin beroperasinya radar cuaca secara normal.
Salah satu faktor yang dipantau pada sistem transmiter magnetron adalah suhu. Namun, pemonitoran suhu yang dilakukan saat ini belum mampu merepresentasikan suhu sistem transmiter magnetron secara keseluruhan. Kamera termal yang dibangun dari modul MLX90640 dan mikrokontroler NodeMCU ESP32 menggunakan pemrograman Arduino IDE dan keluarannya berupa matriks suhu dapat merepresentasikan suhu sistem transmiter magnetron secara keseluruhan. Sistem diagnosis dibangun berbasis neural network yang terdiri dari 1 lapisan input, 1 lapisan tersembunyi, dan 1 lapisan output. Dimana output kamera termal digunakan sebagai input untuk klasifikasi kondisi sistem transmiter magnetron. Hasil penelitian ini menunjukkan bahwa kamera termal dapat mengukur suhu sistem transmiter magnetron secara keseluruhan. Sistem diagnosis mendapatkan akurasi 100% saat model diuji menggunakan data tes, sehingga mampu mengidentifikasi beberapa kondisi sistem transmiter magnetron, yaitu magnetron on, magnetron off, sistem radar off, modulator power supply overheat, dan switch array unit overheat.
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The magnetron transmitter system is one of the crucial components of weather radar. When the magnetron transmitter system is damaged, the weather radar will be unable and the necessary weather data cannot be generated. Monitoring the condition of the magnetron transmitter system is crucial to ensure the normal operation of the weather radar.
One of the factors monitored in the magnetron transmitter system is temperature. However, the current temperature monitoring has not been able to represent the temperature of the magnetron transmitter system. Thermal cameras are built from the MLX90640 module and NodeMCU ESP32 microcontroller using Arduino IDE programming and the output in the form of a temperature matrix can represent the temperature of the magnetron transmitter system. The diagnosis system is built on a neural network basis consisting of 1 input layer, 1 hidden layer, and 1 output layer. Where the thermal camera output is used as an input for the classification of the condition of the magnetron transmitter system. The results of this study show that thermal cameras can measure the temperature of the magnetron transmitter system. The diagnosis system gets 100% accuracy when the model is tested using test data, so it can identify several conditions of the magnetron transmitter system, like magnetron on, magnetron off, radar system off, modulator power supply overheat, and switch array unit overheat.
| Item Type: | Thesis (Masters) |
|---|---|
| Uncontrolled Keywords: | kamera termal, neural network, sistem transmiter magnetron radar cuaca, thermal camera, weather radar magnetron transmitter system |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7878 Electronic instruments |
| Divisions: | Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Electrical Engineering > 20101-(S2) Master Thesis |
| Depositing User: | Arsy Yudha Prinanto |
| Date Deposited: | 12 Jul 2022 07:45 |
| Last Modified: | 12 Jul 2022 07:45 |
| URI: | http://repository.its.ac.id/id/eprint/95003 |
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