The application of the Hilbert-Huang transform to the analysis of inertial profiles of pavements

被引：9

作者：

Gagarin, N

Huang, NE

Oskard, MS

Sixbey, DG

Mekemson, JR

机构：

[1] Starodub Inc, Kensington, MD 20895 USA

[2] NASA, Goddard Space Flight Ctr, Oceans & Ice Branch, Greenbelt, MD 20771 USA

[3] Fed Highway Adm, Turner Fairbank Highway Res Ctr, Mclean, VA 22101 USA

[4] Starodub Inc, Manassas, VA USA

来源：

INTERNATIONAL JOURNAL OF VEHICLE DESIGN | 2004年 / 36卷 / 2-3期

关键词：

cross-correlation; EMD; empirical mode decomposition; HHT; Hilbert-Huang transforms; inertial profiles of pavement; nonlinear; nonstationary filter; surface feature pattern recognition;

D O I：

10.1504/IJVD.2004.005361

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

Inertial road profile measurements are widely used to assess the condition of existing pavements and monitor the quality control for smoothness of newly constructed pavements. A metric known as the International Roughness Index (IRI), computed from the inertial road profile quantifies the ride quality of the pavement. Within the inertial road profile, the variation of frequency-amplitude content versus distance is nonlinear and nonstationary. The HilbertHuang transform (HHT) and its Empirical Mode Decomposition (EMD) is well suited for nonlinear and nonstationary data. In the application of the HHT to inertial profile analysis, the intrinsic mode functions and their Hilbert transform can be used to: 1) represent the frequency/wavelength content of a profile; 2) filter the data in the distance domain in preparation for secondary analyses, and 3) compare two profiles and assess their similarities by performing simultaneous distance-frequency synchronisation.

引用

页码：287 / 301

页数：15

共 4 条

[1] A confidence limit for the empirical mode decomposition and Hilbert spectral analysis [J].

Huang, NE ;

Wu, MLC ;

Long, SR ;

Shen, SSP ;

Qu, WD ;

Gloersen, P ;

Fan, KL .

PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 2003, 459 (2037) :2317-2345

[2] A new view of nonlinear water waves: The Hilbert spectrum [J].

Huang, NE ;

Shen, Z ;

Long, SR .

ANNUAL REVIEW OF FLUID MECHANICS, 1999, 31 :417-457

[3] The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis [J].

Huang, NE ;

Shen, Z ;

Long, SR ;

Wu, MLC ;

Shih, HH ;

Zheng, QN ;

Yen, NC ;

Tung, CC ;

Liu, HH .

PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 1998, 454 (1971) :903-995

[4]

Huang NE, 1996, ADV APPL MECH, V32, P59, DOI 10.1016/S0065-2156(08)70076-0

← 1 →