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ALGORITHMS USED IN IDENTIFYING DEFECTIVE PARTS OF
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ALGORITHMS USED IN IDENTIFYING DEFECTIVE PARTS OF
AUTOMOBILE ROADS
Mirzaakbar Xakkulmirzayevich Xudayberdiyev
1
, Ravshanov Anvar
Asatilloyevich
2
1
Tashkent information technologies university Department Software of
Information Technology , professor
2
Digital technology and artificial intelligence development scientific-research
institute of the base of PhD doctorates student
A Fourier series(rows) allows us to model an arbitrary periodic signal
with a combination of sines and cosines. The Fourier series is used to analyze
signals, process images and divide them into amplitudes and frequencies that
make it possible to analyze signals in the frequency domain. By analyzing the
frequency components of the defective road from the Fourier series, we will get
acquainted with the algorithms used to determine the defective sections of the
highways.
Discrete Fourier Transform (DFT) Algorithm:
This algorithm involves
transforming the road profile data into the frequency domain using DFT. The
DFT may be calculated using the Fast Fourier Transform (FFT) algorithm,
which is efficient for large data sets. The frequency components of the road
profile are analyzed to detect defects such as bumps, dips and cracks
.
Wavelet Transform (WT) Algorithm:
This algorithm involves
analyzing road profile data in time and frequency domains using wavelet
transform. Wavelet transforms can detect local changes in the road profile, such
as potholes and cracks, that may be missed by the DFT algorithm
.
Short-Time Fourier Transform (STFT) algorithm:
Involves the
analysis of road profile data in short time windows using the Fourier transform.
STFT can be used to detect short-term defects, such as bumps and obstacles.
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