Apparatus and method of detecting leak sound in plant equipment using time-frequency transformation
AssigneeKorea Atomic Energy Research Institute
InventorsDoo Byung Yoon, Soon Sung Moon, Bong Su Yang, Jin Ho Park
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Abstract
An apparatus for detecting a leak sound in plant equipment using time-frequency transformation includes a first microphone measuring an acoustic signal generated in the plant equipment, a second microphone measuring an acoustic signal generated in the plant equipment, and a leak sound detection module detecting a leak sound in the plant equipment using time-frequency transformation of the acoustic signal measured by the first microphone and the acoustic signal measured by the second microphone, wherein a leak sound may be detected even when a transient dispersive noise signal, as well as a periodic noise signal, is large.
Claims7
An apparatus for detecting a leak sound in plant equipment using time-frequency transformation, the apparatus comprising:
- a first microphone measuring an acoustic signal generated in the plant equipment;
- a second microphone measuring an acoustic signal generated in the plant equipment;
- and
- a leak sound detection module detecting the leak sound in the plant equipment from the acoustic signal measured by the first microphone and the acoustic signal measured by the second microphone,
- wherein the acoustic signals measured by the first and second microphones detect the leak sound in the plant equipment and periodic machinery noise of the plant equipment,
- wherein the leak sound detection module detects the leak sound using time-frequency transformation of the acoustic signal measured by the first microphone and the acoustic signal measured by the second microphone, and
- wherein the leak sound detection module performs time-frequency transformation on acoustic signals measured at different points in time through the respective microphones, obtains a cross time-frequency spectrum between acoustic signals which have been measured at the same point in time and time-frequency-transformed through the respective microphones, obtains a cross time-frequency spectrum between acoustic signals which have been measured at different points in time and time-frequency-transformed through the respective microphones, and subsequently signal-processes the two cross time-frequency spectrums to detect the leak sound while eliminating an effect of the periodic machinery noise.
A method of detecting a leak sound using a leak sound detecting apparatus having a first microphone and a second microphone measuring an acoustic signal generated in plant equipment, the method comprising:
- a first operation in which a time-frequency transformation unit performs time-frequency transformation on a first acoustic signal measured at a first point in time through the first microphone, a second acoustic signal measured at the first point in time through the second microphone, and a third acoustic signal measured at a second point in time after the lapse of a predetermined amount of time from the first point in time through the second microphone;
- a second operation in which a time-frequency spectrum calculation unit calculates a first cross time-frequency spectrum of the time-frequency-transformed first acoustic signal and the time-frequency-transformed second acoustic signal and a second cross time-frequency spectrum of the time-frequency-transformed first acoustic signal and the time-frequency-transformed third acoustic signal;
- a third operation in which a first Doppler distribution calculation unit obtains a first cross Doppler distribution regarding the first cross time-frequency spectrum and a second cross Doppler distribution regarding the second cross time-frequency spectrum;
- a fourth operation in which a second Doppler distribution calculation unit obtains a Doppler distribution of a leak sound by subtracting the second cross Doppler distribution from the first cross Doppler distribution;
- and
- a fifth operation in which an instantaneous cross correlation function calculation unit performs a 2-dimensional (2D) inverse fast Fourier transform (IFFT) on the Doppler distribution of the leak sound to obtain an instantaneous cross correlation function and detects the leak sound from the instantaneous cross correlation function.
Dependencies are inferred from the claim text.