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- W2354098576 abstract "A number of non-stationary noises usually cover up the useful acoustic emission (AE) signals in real world, which induce the difficulty in AE recognition. So, a number of recent studies have focused on the signal enhancement during AE recognition. Discrete cosine transform (DCT) is an effective method to signal enhancement. This paper redefined discrete fractional cosine transform (DFCT) by state function , proposed a algorithm named three cycles discrete fractional cosine transform (DFCT3), deduced the AE enhancement method based on DFCT3 and its modified algorithm (MDFCT3). The experiment date was rub impact AE signals sampled from rotating test stand, Gaussian white noise and non-stationary noise were added to simulate the real AE signal which polluted seriously by noise. Then, DFCT3 and MDFCT3 were used into de-noising and AE recognition. The results show that these two algorithms have better performance than DCT in multi-noise circumstance, and that the methods in this paper are effective." @default.
- W2354098576 created "2016-06-24" @default.
- W2354098576 creator A5069292664 @default.
- W2354098576 date "2008-01-01" @default.
- W2354098576 modified "2023-09-24" @default.
- W2354098576 title "Application of Discrete Fractional Cosine Transform in Acoustic Emission Signal De-noise" @default.
- W2354098576 hasPublicationYear "2008" @default.
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