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- W2370945020 abstract "Strong coupling between inputs and strong coherence sources are two situations in which partial coherence analysis is not applicable to use. This paper introduces the cepstrum theory into the noise source identification,and combined with the Hilbert transform,a new methodology in determining the causality between inputs is proposed, so that the influence brought by the coupling can be avoided. The analytic hierarchy process method and partial coherence theory were also used in the research in order to find the assignment rules of partial coherent spectrum and differentiate between the contributions of each signal from the strong coherence sources. During this research,simulation of the multi-input / single-output system with strong coupling and a strong coherence signal between inputs was conducted,as well as quantitative analysis of the noise of mechanical equipment in the submarine compartment model,which further proved the effectiveness of this methodology." @default.
- W2370945020 created "2016-06-24" @default.
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- W2370945020 date "2014-01-01" @default.
- W2370945020 modified "2023-09-27" @default.
- W2370945020 title "Separation of noise sources based on the cepstrum and partial coherence theory" @default.
- W2370945020 hasPublicationYear "2014" @default.
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