CD Skripsi

Deteksi Kebocoran Dan Sumbatan Pada Pipa Menggunakan Sinyal Suara Dalam Kondisi Kebisingan

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ABSTRACT

Pipes are an important element of today's infrastructure, serving as the backbone of fluid distribution systems for water, gas, oil, and other fluid resources. In line with industrial developments, methods for detecting pipe leaks have undergone updates. However, some of these methods have shortcomings, particularly in terms of cost and measurement accuracy, necessitating the development of alternative methods for identifying blockages in pipes. This study proposes the use of acoustic reflectometry techniques to detect damage such as leaks and blockages in pipes, through the analysis of sound reflection signals in the time domain and continuous wavelet transformation. In this case, the pipes also experience external sound disturbances. This study uses sinusoidal, impact, and grinding sound disturbances. This study uses leaks of 5 mm, 8 mm, and 10 mm for blockages with thicknesses of 1/2, 1/4, and 3/4 of the pipe diameter. The results of the leakage and blockage data with external noise disturbances, plotted in the time domain graph and wavelet transform coefficient (CWT), show that the leakage and blockage patterns are not clearly visible, necessitating the use of a filter. The selected filter candidates are high-pass filter, band-pass filter, and low-pass filter. After testing each filter candidate, the low-pass filter was chosen because it produces a graph similar to the data graph without external noise interference, and the graph results are sharper and smoother compared to the high-pass filter and band-pass filter. In this study, it was found that the wavelet coefficient value increases as the leak diameter increases, while the blockage value increases as the blockage thickness is increased in different directions. Leaks tend to form valleys, while blockages tend to form peaks. This study was able to determine the position of leaks and blockages with an error rate ranging from a minimum of 0.38% to a maximum of 4.98%.

Keywords: Pipe, sound signal, leakage, blockage, Wavelet transform, butterworth filter

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

2007110767

Penerbit

Pekanbaru : Universitas Riau – F.TEKNIK – mesin., 2025

Deskripsi Fisik

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Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

2007110767

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

TEKNIK MESIN

Info Detail Spesifik

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Pernyataan Tanggungjawab

daus

Versi lain/terkait

Lampiran Berkas

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