Evaluasi Digital Wavelet Filter Pada Peralatan Deteksi Arcing Tegangan Rendah

Widyatama, Anton Putra (2023) Evaluasi Digital Wavelet Filter Pada Peralatan Deteksi Arcing Tegangan Rendah. Masters thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Busur api (arcing) merupakan salah satu penyebab terjadinya bencana kebakaran yang cukup banyak terjadi di dunia. Bahaya arcing menyebabkan kerugian yang sangat besar. 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. Jika arcing berlangsung secara terus menerus, maka akan timbulah panas yang dapat merusak peralatan dan terjadilah kebakaran. Pada penelitian kali ini akan dilakukan evaluasi penggunaan mother wavelet pada metode Discrete Wavelet Transform (DWT) pada peralatan deteksi tegangan rendah. Discrete Wavelet Transform (DWT) merupakan suatu fungsi matematika yang paling sukses dalam bidang pengolahan sinyal. Pengolahan sinyal dengan metode DWT akan dianalisa dan dibandingkan performansinya dengan mother wavelet Daubechies-1, Daubechies-4, Coiflet-4, dan Symlet-4. Kemudian diterapkan pada peralatan deteksi arcing tegangan rendah. Dari hasil pengujian dan analisis diperoleh, untuk pengujian mother wavelet pada metode DWT, mother wavelet Daubechies-4 menghasilkan tingkat akurasi dan sensitivitas yang tinggi. Mother wavelet Coiflet-4 dan Symlet-4 menghasilkan tingkat akurasi paling rendah pada beban 400W dan 700W. Sedangkan pada mother wavelet Daubechies-1, nilai amplitude sinyal normal mendekati nilai amplitude sinyal arcing sehingga akan mempersulit untuk menentukan nilai threshold. Pada penelitian ini didapatkan hasil yaitu peralatan deteksi arcing dengan menggunakan metode mother wavelet Daubechies-4 dapat mendeteksi gangguan arcing dengan sangat baik dan menghasilkan tingkat akurasi dan sensitivitas yang tinggi dibandingkan dengan mother wavelet Daubechies-1, Coiflet-4, dan Symlet-4.
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Arcing is one of the most common causes of fire disasters in the world. The danger of arcing causes very big loss. The fault current caused by arcingusually occurs in a very short duration, so that safety equipment such as Miniature Circuit Breakers (MCB) and Fuses cannot detect the disruption. If arcing happens continuously, there will be heat that can damage the equipment and cause a fire.In this study, an evaluation of the use of mother wavelets in the Discrete Wavelet Transform (DWT) method on low voltage detection equipment will be carried out. Discrete Wavelet Transform (DWT) is a mathematical function that is the most successful in the field of signal processing. Signal processing using the DWT method will be analyzed and compared its performance with mother wavelets Daubechies-1, Daubechies-4, Coiflet-4, and Symlet-4. Then applied to low voltage arcing detection equipment. From the results of testing and analysis obtained, for testing the mother wavelet on the DWT method, the mother wavelet Daubechies-4 produces a high level of accuracy and sensitivity. Mother wavelet Coiflet-4 and Symlet-4 produce the lowest level of accuracy at 400W and 700W load. Meanwhile, on the mother wavelet Daubechies-1, the normal signal amplitude value is approach the arcingsignal amplitude value, so it will be difficult to determine the threshold value. In this study, the results obtained are arcing detection equipment using the mother wavelet Daubechies-4 method can detect arcing disturbances very well and produces a high level of accuracy and sensitivity compared to the mother waveletDaubechies-1, Coiflet-4, and Symlet-4.

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	Arcing, Mother wavelet, Discrete Wavelet Transform, Low Voltage, Busur Api, Tegangan Rendah
Subjects:	T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General) > TA1573 Detectors. Sensors
Divisions:	Faculty of Electrical Technology > Electrical Engineering > 20101-(S2) Master Thesis
Depositing User:	Anton Putra Widyatama
Date Deposited:	14 Mar 2023 12:39
Last Modified:	14 Mar 2023 12:39
URI:	http://repository.its.ac.id/id/eprint/97760

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