CD Skripsi
Deteksi Kerusakan Dalam Bentuk Kebocoran Dan Sumbatan Elbow Pipa Menggunakan Sinyal Suara Dan Delapan Mikrofon
ABSTRACT
In this study, damage to the pipe was detected using a voice signal and
eight microphones. The voice signal method is a smart structural health
monitoring that can detect damage at a lower cost. Sound excitation is given
using a loudspeaker and the response of the sound signal is sampled using
eight microphones connected to a PC-Oscilloscope which functions to convert
the analog signal from the recorded sound into a digital signal in the form of a
time domain value and then uses a Continuous Wavelet Transform (CWT) to
determine the location of the damage. occurs in the pipe sheath. To detect the
location of pipe damage in various damage positions, it can be searched by
comparing the wavelet coefficient and looking at the polar plot of the eight
microphones. The damage given is in the form of plugs and leaks with different
distances and positions. From the experimental results obtained for a single
pipe with leaking conditions on leaking pipe testing 0.7 m in the direction of
210º it can be seen that the highest wavelet coefficient value occurs at
microphone 6 and microphone 5 which is 0.01374 and 0.01274 according to
the location of the damage that occurs at an angle. 210º between 180º and 225º
angle. It can be seen the location of the damage position in the pipe envelope
through the polar plot, the point that is further away from the outer circle on
the 6-way microphone 225º and the 5-way microphone 180º is the position of
the pipe damage location.
Keywords: sound signal, leakage, blockage, Continous Wavelet Transform,
wavelet coefficient, polar plo
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