An Investigation of Feature Extraction of Local Energy in Joint Time-Frequency Analysis Based on Process Systems Modeling and Simulation

Feng Li Wang; Shu Lin Duan; Hong Tao Gao

doi:10.4028/www.scientific.net/AMM.198-199.803

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 198-199An Investigation of Feature Extraction of Local...

An Investigation of Feature Extraction of Local Energy in Joint Time-Frequency Analysis Based on Process Systems Modeling and Simulation

Abstract:

Aiming at the characteristics of local properties of the non-stationary signals, a noval feature extraction approach based on the local energy in joint time-frequency analysis is proposed. The concept of local energy in joint time- frequency analysis based on local wave analysis was used to measure the signal energy in time-frequency space of the signal. Firstly, analyze the signal with local wave method and then make Hilbert transformation of it. Then partition several areas in time frequency space and compute its local energy. From the expression of local wave time-frequency distributing, not only total energy of signal can be computed but also local energy in time-frequency space. Simulation research indicates that the developed approach was effective.

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Periodical:

Applied Mechanics and Materials (Volumes 198-199)

Pages:

803-807

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.198-199.803

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Online since:

September 2012

Authors:

Feng Li Wang, Shu Lin Duan, Hong Tao Gao

Keywords:

Feature Extraction, Hilbert Transform, Local Energy, Local Wave Analysis, Systems Modeling

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