Monitoring Online Arcing Seri Tegangan Rendah Berbasis Web dengan Analisa Impedansi Saluran

Kurniawan, Firdaus Fajar (2018) Monitoring Online Arcing Seri Tegangan Rendah Berbasis Web dengan Analisa Impedansi Saluran. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

[img] Text
2213100165-Undergraduate_Theses.pdf
Restricted to Repository staff only

Download (3MB) | Request a copy

Abstract

Fenomena arcing pada sistem tegangan rendah merupakan salah satu penyebab terjadinya bencana kebakaran yang cukup banyak terjadi di dunia. Arcing yang timbul pada suatu sistem tegangan rendah jika terus menerus terjadi pada suatu kondisi tertentu yang mendukung, panas yang dihasilkan oleh arc dapat memicu timbulnya api, yang akhirnya dapat menyebabkan terjadinya kebakaran. Arus gangguan yang ditimbulkan oleh arcing biasanya terjadi dalam durasi yang sangat singkat, sehingga peralatan pengaman seperti Miniature Circuit Breaker (MCB) dan Fuse tidak dapat mendeteksi gangguan tersebut. Arcing seri, selain durasinya sangat singkat, juga berada pada kisaran arus operasi beban normal, sehingga peralatan pengaman arus lebih tidak dapat mendeteksi adanya gangguan. Pada penelitian ini sebuah rancangan sistem monitoring peralatan pendeteksi arcing seri yang berbasis web dipaparkan, disertai dengan analisa impedansi saluran terhadap kinerja pendeteksian. Metode pendeteksian arcing dilakukan dengan peak thresholding dan peak counting sinyal arus yang telah diproses sebelumnya oleh filter high pass digital didalam aplikasi LabVIEW. Algoritma yang digunakan pada sistem pendeteksian ini dirancang untuk dapat membedakan 3 kondisi umum pada rangkaian, yaitu kondisi normal, switching, dan saat terjadi arcing seri berdasarkan karakteristik gelombang arus frekuensi tinggi nya. Kemudian, program LabVIEW dirancang agar dapat berkomunikasi dengan database MySQL di webhost server yang ada di jaringan internet dengan mengirim data log pendeteksian arcing, sehingga pendeteksian arcing dapat dipantau dari mana saja dan kapan saja oleh pengguna dari website monitoring arcing. ============================================================================================================== An arcing phenomenon in a low voltage system is one of the main causes of fire incidents that occur quite frequently on many countries in the world. An arcing that occurs on a low voltage system if repeatedly occured for a period of time in a supporting condition, the heat generated could combust any materials near it and starts a fire. The fault current that is caused by the arcing generally has a very short duration, causing any conventional electrical safety equipments like the Miniature Circuit Breaker (MCB) and fuse will not be able to detect and isolate the fault. Series arcing, besides it has a very short duration, its fault current level is also in a level of a normal operating current, and that makes it impossible for any overcurrent safety equipments to detect any fault in the circuit. In this research a design of an online web based series arcing detection equipment system is explained, including the analysis of line impedance on the detection performance. The method of the arc detection is done by peak thresholding and peak counting of the current signal, that is processed before by a digital high pass filter inside the LabVIEW application. The algorithm used in the detection system is designed to be able to differentiate 3 common conditions in a circuit, namely normal condition, switching, and when series arcing condition occur based on its high frequency current waveform characteristics. Then, the LabVIEW program is designed to be able to communicate with a MySQL database that is located on a webhost server in the internet network by sending arcing detection log, so the arcing detection could be monitored from anywhere and anytime by the user.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Deteksi Arcing Seri, Tegangan Rendah, Monitoring Online, Impedansi Saluran
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Industrial Technology > Electrical Engineering > (S1) Undergraduate Theses
Depositing User: Kurniawan Firdaus Fajar
Date Deposited: 05 Mar 2018 02:47
Last Modified: 05 Mar 2018 02:47
URI: http://repository.its.ac.id/id/eprint/49665

Actions (login required)

View Item View Item