Abstract Previous studies have shown that about 90% of traffic accidents are due to human error, which means factors may affect a driver's braking behaviors and thus their driving safety, especially when the driver makes motion. However, most mounted sensors on brake pad, ignoring some extent an analysis behavior before pad is pressed (pre-braking). Therefore, determine effect different drivers...

in this paper some new applications of empirical mode decomposition (emd) and hilbert spectrum in seismic ground-roll attenuation, random noise attenuation and spectral decomposition are introduced. hilbert spectrum is a time-frequency representation for hilbert-huang transform which is obtained by combination of instantaneous frequency (if) concept and intrinsic mode function of empirical mode...

The work is aimed at using the chaos synchronization error dynamics (CSED) technique for defect pattern recognition in gas insulated switchgear (GIS). The radiated electromagnetic waves generated due to internal defects were measured by the self-made ultrahigh frequency (UHF) micro-strip antenna, so as to determine whether partial discharge will occur. Firstly, a data pretreatment is performed ...

This paper describes a method to implement Reactive Power Compensation (RPC) in power systems that possess nonlinear non-stationary current disturbances. The Empirical Mode Decomposition (EMD) introduced in the Hilbert-Huang Transform (HHT) is used to separate the disturbances from the original current waveform. These disturbances are subsequently removed. Following that, Power Factor Correctio...

The Hilbert-Huang transform (HHT) has been shown to be effective for characterizing a wide range of nonstationary signals in terms of elemental oscillatory components, termed the intrinsic mode functions (IMFs). In this presentation, we describe a combination of methods involving numerical integral transforms and theoretical analysis that cumulate to a new nonparametric method for nonlinear sys...

A new method for pitch detection of secondary spectrum is designed in the paper, the noisy speech oval (Elliptic Filter, EF) band-pass filter is designed first in this method, and then the experience mode Decomposition(EMD)of Hilbert-Huang transform (HHT) is used to decompose the signal into a finite number of intrinsic mode functions (IMF), and IMF components of different scales are associated...

The time–frequency characteristics of electromagnetic radiation (EMR) waveform induced by rock fracture are very important to the monitoring and early–warning using EMR method for mine rockburst. empirical wavelet transform (EWT), as a analysis method, has advantages clear theoretical basis, convenient calculation, no modal aliasing. To apply EWT field analysis, operation Fourier axis segmentat...

This paper uses the Hilbert–Huang transform (HHT) method to make time–frequency diagnostic analyses of four monthly time series of the global precipitation: MERG (1900– 2008), REOF (1900–2008), GPCP (1979–2009), and CMAP (1979–2009). All these data are the global land and ocean average of precipitation anomalies with respect to the mean of the entire data period. The MERG and REOF are spectral ...

This study combines signal de-noising, feature extraction, two pairwise-coupled relevance vector machines (PCRVMs) and particle swarm optimization (PSO) for parameter optimization to form an intelligent diagnostic framework for gearbox fault detection. Firstly, the noises of sensor signals are de-noised by using the wavelet threshold method to lower the noise level. Then, the Hilbert-Huang tran...

An efficient algorithm based on Empirical Mode Decomposition (EMD) de-noising using soft 10 threshold techniques for accurate doppler profile detection and Signal to Noise Ratio (SNR) improvement of 11 MST Radar Signals is discussed in this paper. Hilbert Huang Transform (HHT) is a time-frequency analysis 12 technique for processing radar echoes which constitutes EMD process that decomposes the...