We present a new method for separation of the rhythms of the electroencephalogram (EEG) signal. The proposed method is based on the Hilbert-Huang transform (HHT). The HHT consists two steps namely empirical mode decomposition (EMD) and the Hilbert transform (HT). The EMD decomposes EEG signal into set of narrow-band intrinsic mode functions (IMFs), and the Hilbert transformation of these IMFs p...

This paper proposes new partial discharge (PD) pattern recognition based on the Hilbert–Huang Transform (HHT). First, five types of defect models are well-designed on the base of investigation of many power equipment failures, and a commercial acoustic emission (AE) sensor measures the acoustic signal caused by the PD phenomenon. Next, the HHT can represent instantaneous frequency components th...

Temperature, solar radiation and water are major important variables in ecosystem models which are measurable via wireless sensor networks (WSN). Effective data analysis is necessary to extract significant spatial and temporal information. In this work, information regarding the long term variation of seasonal field environment conditions is explored using Hilbert-Huang transform (HHT) based an...

In this paper the use of the Hilbert-Huang Transform (HHT), for the decomposition and characterization of seismic ground response, is discussed. The HHT, integrated by the Empirical Mode Decomposition (EMD) and the Hilbert Transformation (HT), enables engineers to analyze non-stationary oscillation systems and to obtain more detailed intensity descriptions on time-varying frequency diagrams. Th...

Hilbert Huang transform (HHT) is a relatively new method. It seems to be very promising for the different applications in signal processing because it could calculate instantaneous frequency and amplitude which is also important for the biomedical signals. HHT consisting of empirical mode decomposition and Hilbert spectral analysis, is a newly developed adaptive data analysis method, which has ...

Tidal power generation technology has advanced quickly in recent years. In this study, the Hilbert-Huang transform (HHT) was used to examine electrical energy distribution law of tidal according time periods days, months, and years based on observed data for generation. Our analysis summarized as follows: span one day, motor ran 14 h before shutting off 10 h. The frequency 28 Hz, maximum voltag...

The vibration characteristics of a rub-impact rotor system with different parameters are investigated using Hilbert-Huang Transform (HHT)-a relative novel time-frequency analysis method. Firstly, the rotor with rub-impact at fixed limiter is modeled by finite element method (FEM). Then, system simulation signals at different rotating speeds, rub-impact clearances and rub-impact rod stiffness ar...

This paper presents a vibration control method for the suppression of robotic arm. To understand causes in six-axis manipulator and then eliminate through an effective method, structure can be divided into two parts. First, variational mode decomposition (VMD) Hilbert–Huang transform (HHT) algorithm are integrated to analyze signal extract characteristics. Second, smooth trajectory planning is ...

Empirical mode decomposition is a method to decompose signals proposed by N.E.Huang et. al in 1998. It can extract adaptively the oscillatory modes at each time from a complex signal, namely it can decompose the signal into a finite (often less) number of intrinsic mode functions (IMFs). With Hilbert transform, the IMFs yield instantaneous frequencies as functions of time, that give sharp ident...

The Hilbert-Huang Transform is a novel, adaptive approach to time series analysis that does not make assumptions about the data form. Its adaptive, local character allows the decomposition of non-stationary signals with hightime-frequency resolution but also renders it susceptible to degradation from noise. We show that complementing the HHT with techniques such as zero-phase ltering, kernel de...