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REALTIME ANALYSIS 0F REFRIGERAT0R SYSTEM S0UND
EXTRACTI0N AND DISCRIMINATI0N 0F SPECTRAL FEATURES
C0NCLUSI0NS AND REC0MMENDATI0NS
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20 kHz Sound acoustic lens amplitude analyzer application array assembly line autocorrelation Averaged 5 kHz background noise blade broadband cardioid cepstral cepstral components cepstrum characteristics classification compressor computed cylinder dead zone decision function decision tree determined developed deviation device dot product extraction feature set feature space feature vector filter Frequency Hz frequency range frequency spectrum harmonic content harmonic series hyperplane inches Insertion Gain kHz Sound Spectrum learning machine lens-horn linear magnitude measure method narrow-band noisy units normal Number of Averages octave operating condition parabolic reflector peaks presented quefrency quiet units QXCD2 refrigerator refrigerator sound routine sample sealed system shown in Fig signature analysis system Skudrzyk smoothed sound levels Spectral Autocorrelation spectral components spectral features Spectral Masks Spectrum of Unit Table techniques threshold torque Torque Spectrum training set transducer tube tubular microphone V15 CSL V6 MB vibration Vll NICK waves weight vector