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- W2355410932 abstract "A new approach of adaptive Chirplet parameter optimization is presented.In the proposed approach,via a combination of fractional Fourier transform and quasi-Newton method,the maximum projective decomposition is used to estimate the parameters.Then,the expectation maximization algorithm is used to refine the results.This method is compared with traditional time-frequency analysis methods,such as short-time Fourier spectrum and Wigner distribution,the simulation results show that this method can obtain more accurate estimation,finer time-frequency resolution and denoising capability,and the simulation also illustrate the necessity of EM.At last,the proposed method is applied to the fault diagnosis of bearing,the experiment results demonstrate that the proposed method is efficient." @default.
- W2355410932 created "2016-06-24" @default.
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- W2355410932 date "2007-01-01" @default.
- W2355410932 modified "2023-09-26" @default.
- W2355410932 title "An adaptive Chirplet decomposition method and its application to the fault diagnosis" @default.
- W2355410932 hasPublicationYear "2007" @default.
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