Pradipta, Awataraning Tunjung (2019) Analisis Deteksi Arcing Seri Tegangan Rendah terhadap Pengaruh Impedansi Jaringan dan Jarak Elektroda. Other thesis, Institut Teknologi Sepuluh Nopember.
Preview |
Text
07111745000041-Undergraduate_Theses.pdf Download (2MB) | Preview |
Abstract
Peristiwa kebakaran yang banyak terjadi di Indonesia, sebagian besar disebabkan oleh fenomena hubung singkat yang menimbulkan busur api listrik (arcing). Arcing yang terjadi dalam waktu tertentu dapat menimbulkan percikan api yang dapat memicu kebakaran. Walaupun nominal arus gangguan sangat tinggi, biasanya arus ini hanya terjadi dalam durasi waktu yang sangat singkat. Sehingga, peralatan seperti fuse dan circuit breaker (CB) tidak dapat mendeteksi gangguan tersebut. Pada penelitian ini, akan dilakukan pendeteksian arcing seri tegangan rendah yang dipengaruhi oleh impedansi jaringan dan jarak elektroda dengan metode analisis frekuensi tinggi fast Fourier Transform (FFT). Karena besaran arus yang dideteksi, maka digunakan modul NI DAQ 9246 untuk akuisisi data gelombang arus. Pemrosesan data dari modul NI DAQ 9246 ini dibantu dengan software LabVIEW dan DIAdem untuk mendapatkan data gelombang arus. Lalu, dengan menggunakan alat deteksi arcing, gelombang arus tersebut diolah menjadi gelombang arus di domain frekuensi dengan metode FFT. Penelitian ini akan mendeteksi busur api seri tegangan rendah dalam 3 kondisi, yaitu saat kondisi normal, saat penambahan beban (switching), dan saat terjadinya busur api berdasarkan karakteristik gelombang arus frekuensi tinggi. Berdasarkan hasil pengujian, impedansi jaringan tidak berpengaruh terhadap kinerja deteksi, sedangkan jarak elektroda berpengaruh dalam tingkat keparahan arcing, dimana jarak elektroda terjauh sebelum rangkaian terputus kurang dari 0.0125 mm. ==============================================================================================================================
Many fire events that occur in Indonesia, mostly caused by short circuit phenomena that cause electric arcs (arcing). Arcing that occurs in a certain time can cause sparks that can trigger a fire. Although the nominal noise current is very high, this current usually only occurs in a very short duration of time. Thus, equipment such as fuse and circuit breaker (CB) cannot detect the interference. In this study, the detection of low voltage series arcing is affected by network impedance and electrode distance with fast Fourier Transform (FFT) high frequency analysis method. Because of the amount of current detected, the NI DAQ 9246 module is used for data acquisition of current waves. Data processing from the NI DAQ 9246 module is assisted by LabVIEW and DIAdem software to obtain current wave data. Then, by using an arcing detection device, the current wave is processed into a current wave in the frequency domain using the FFT method. This study will detect low voltage series arcs in 3 conditions, namely during normal conditions, when adding a load (switching), and when arcing arcs based on the characteristics of high frequency current waves. Based on the test results, the network impedance does not affect the detection performance, while the electrode distance has an effect in the arcing severity, where the distance of the farthest electrode before the circuit is cut is less than 0.0125 mm.
| Item Type: | Thesis (Other) |
|---|---|
| Additional Information: | RSE 621.317 Pra a-1 2019 |
| Uncontrolled Keywords: | Deteksi Arcing Seri, Fast Fourier Transform, Impedansi Jaringan, Jarak Elektroda, Tegangan Rendah. |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK2861 Electric relays T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5102.9 Signal processing. T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7871.674 Detectors. Sensors |
| Divisions: | Faculty of Electrical Technology > Electrical Engineering > 20201-(S1) Undergraduate Thesis |
| Depositing User: | Awataraning Tunjung Pradipta |
| Date Deposited: | 25 Jan 2023 08:11 |
| Last Modified: | 25 Jan 2023 08:11 |
| URI: | http://repository.its.ac.id/id/eprint/63514 |
Actions (login required)
 |
View Item |