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• W2320003090 abstract "The Hilbert transform (HT), as a powerful signal processing method, has been widely applied in analyzing nonlinear and nonstationary signals. Currently, the implementation of HT is realized by the discrete Fourier transform (FT), which, however, is based on the assumption that the signal to be analyzed is periodic in nature and of infinite length. Therefore, the conventional HT of nonlinear signals inherits the leakage and distortion problems introduced by the discrete FT. Although the local maxima interpolation (LMI) based approach demonstrated a significant improvement to the conventional FT based approach, it still underestimates the Hilbert amplitude. In this paper, we propose an improved LMI approach to address the underestimation issue. The HT obtained by the improved approach is proven to be a very close approximation to the analytic HT. Benchmark simulations as well as practical example will show that the new approach can further improve the HT accuracy and consequently identify the dynamic characteristics of a baseline blade successfully." @default.
• W2320003090 created "2016-06-24" @default.
• W2320003090 creator A5025407913 @default.
• W2320003090 creator A5070827447 @default.
• W2320003090 date "2009-05-04" @default.
• W2320003090 modified "2023-09-23" @default.
• W2320003090 title "An Improved Hilbert Transform for Nonlinear Vibration Signal Analysis" @default.
• W2320003090 cites W1977066927 @default.
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• W2320003090 doi "https://doi.org/10.2514/6.2009-2651" @default.
• W2320003090 hasPublicationYear "2009" @default.
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