CD Skripsi
Deteksi Kebocoran Dan Sumbatan Pada Pipa Menggunakan Sinyal Suara Dan Multiple Eksitasi
ABSTRACT
Piping systems are an important element in the distribution of fluids in various industries, such as drinking water, oil, and gas. However, pipes often suffer damage due to natural disasters, corrosion, mechanical failure, or other external factors. This damage can take the form of leaks, blockages, or pipe ruptures, which can cause injury, damage to facilities, environmental pollution, and economic losses. Damage detection in pipes using sound signal methods has been developed previously. However, previous research with a single excitation using eight microphones showed misalignment, namely that the Wavelet Transform Coefficient (CWT) values from microphones aligned with the damage did not produce the highest values, whereas they should have produced the highest values, and vice versa for microphones not aligned with the damage, which produced the lowest values. In this study, the detection of leaks and blockages in pipes using sound signals and multiple excitations aims to produce data in the time domain and a more aligned Coefficient Wavelet Transform (CWT) to determine the position of leaks and blockages with greater precision. The study used a 4-inch diameter PVC pipe with a length of 1 metre, and the damage given was in the form of leaks of 8 mm and 10 mm. For blockages, thicknesses of 1/4, 1/2, and 3/4 of the pipe diameter were used, as well as combined damage. The results obtained were an average lowest error percentage of 0.03% and a highest of 0.56%. and the Wavelet Transform Coefficient (CWT) value for the 8 mm leak had the highest CWT value of -0.04364 at microphone 7, the 10 mm leak had the highest CWT value of -0.04565 at microphone 1, the quarter blockage had the highest CWT value of 0.09312 at microphone 5, the half blockage has the highest CWT value of 0.3048 at microphone 7, the three-quarter blockage has the highest CWT value of 0.4483 at microphone 1, and the combined damage has the highest CWT values of -0.04114 and 0.09316 at microphone 7. These results show CWT values that are more aligned compared to a single excitation.
Keywords: Pipe damage, leakage, sound signal, excitation, Coefficient Wavelet Transform (CWT), blockage
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