System identification of linear structures based on Hilbert–Huang spectral analysis. Part 1: normal modes

By Jann N. Yang, Y. Lei, Shuwen Pan, Norden E. Huang. 2003

342 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Interval response data based system identification of multi storey shear buildings using interval neural network modelling (2014, methodology): “System identification of linear structures based on Hilbert-Huang spectral analysis by using normal modes has been given in [12].”
New method for modal identification of super high‐rise building structures using discretized synchrosqueezed wavelet and Hilbert transforms (2017, methodology): “Yang et al.([33,34]) use the EMD to identify the frequencies, damping ratios, and modal shapes of simple two‐dimensional 3‐ and 4‐story linear structures.”
Physical interpretation of independent component analysis in structural dynamics (2007, methodology): “Specifically, the technique is useful for linear [13,14] and non-linear [15] system identification.”
Hilbert–Huang Transform-Based Vibration Signal Analysis for Machine Health Monitoring (2006, methodology): “To effectively construct frequency spectrum of a vibration signal that contains multiple-frequency components, the signal needs to be first decomposed into mono-component functions, by means of EMD [11].”
On certain theoretical developments underlying the Hilbert-Huang transform (2006, methodology): “As the HHT implementation in the HHT-DPS has been successfully used and commercialized ([2], [12], [15]) new applications pose additional questions about the theoretical basis behind the HHT and, in particular, the EMD algorithm.”