This paper examined the rationale of Hilbert-Huang transform(HHT) for structural health monitoring by using experimental data from shaking table testing of a full-size two-story wooden house conducted at the Disaster Prevention Research Institute(DPRI),Kyoto University,Japan.

A new method for nonlinear and non-stationary data processing,the Hilbert-Huang transform(HHT),is applied to analyze a typical nonlinear system,Duffing equation.

The signal prodigality analysis method based on Hilbert-Huang Transform(HHT) is put forward,and through the influence of the signal nonlinear on the main frequency distribution,we find out the approximated relationship between the prodigality and the main frequency of the near periodical signal which is rich in high frequencies.

Using Hilbert-Huang transform to pick up instantaneous parameters of seismic signal;

Denoise of Medical Ultrasonic Signal Based on Hilbert-Huang Transform;

Fault diagnosis of diesel engine valve leakage based on hilbert-huang transform;

EVALUATION OF ENERGY AND SEISMIC EFFECT OF EARTHQUAKE WAVE BASED ON HHT ANALYSIS;

In this paper, a new method using the Hilbert-Huang Transform(HHT) was used to decompose S1 into a series of time-frequency atoms.

A speaker emotion identification method based on Hilbert-Huang Transform(HHT)is proposed in this paper,six basic human emotions are investigated.

Fault diagnosis to mine hoist based on wavelet analysis and Hilbert-Huang transformation

Local and all-circumferential rubbing fault occurrences of rotors were simulated on a rotor test rig and the time-frequency characteristics of the fault-signals,issued under different conditions,obtained by Hilbert-Huang transformation(HHT).

According to the specific features of fault-vibration signals of a centrifugal pump,presented is a new method for fault diagnosis of vibration signals of a centrifugal pump by employing a combination of Hilbert-Huang transformation(HHT) and a radial basis function(RBF) neural network.