Share Email Print
cover

Proceedings Paper • new

An approach of identifying the parameters of IMFs based on PLF
Author(s): Yuan Shi; Li Zhou
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

While identifying the parameters of IMFs from Empirical Mode Decomposition, by Hilbert-Huang Transform, a piece of approximately linear data segment is necessary for a specific result. The select of the data segment will directly influence accuracy of the parameters. The time for getting the approximately linear data segment is required to be as short as possible. The paper uses Least Square Series-piecewise Linear Fitting method to divide data into pieces, then chooses several pieces with the highest goodness-of-fit, and takes each median as basis to change the length, for higher goodness-of-fit. The needed data segment is achieved in the case that this data segment can still reflect the inherent parameters. This paper brings some examples to verify that the approach is feasible and exact.

Paper Details

Date Published: 27 March 2019
PDF: 9 pages
Proc. SPIE 10970, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2019, 109702U (27 March 2019); doi: 10.1117/12.2514247
Show Author Affiliations
Yuan Shi, Nanjing Univ. of Aeronautics and Astronautics (China)
Li Zhou, Nanjing Univ. of Aeronautics and Astronautics (China)


Published in SPIE Proceedings Vol. 10970:
Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2019
Jerome P. Lynch; Haiying Huang; Hoon Sohn; Kon-Well Wang, Editor(s)

© SPIE. Terms of Use
Back to Top