The impact echo technique, has been used successfully for detecting flaws in many different types of concrete structures, including plate-like structures such as bridge decks, slabs, walls, beams, columns, layered structures and hollow cylindrical structures. In the used technique in this work (impact echo technique), a transducer is the sender and the receiver at the same time. A pulse of ultr...

The objective of this study was to determine the quality of comfort level for passengers during in-coach rail travel with reference to the data collected using 3 axis accelerometer and analog data logger. The data module was designed for the purpose of sensing, measuring and monitoring of vibrations felt by the commuters on the rail tracks. Input data in terms of 3 axis is analysed using Hilber...

BACKGROUND Compared to the waveform or spectrum analysis of event-related potentials (ERPs), time-frequency representation (TFR) has the advantage of revealing the ERPs time and frequency domain information simultaneously. As the human brain could be modeled as a complicated nonlinear system, it is interesting from the view of psychological knowledge to study the performance of the nonlinear an...

Fourier transform, wavelet transformation, and Hilbert-Huang transformation (HHT) can be used to discuss the frequency characteristics of linear and stationary signals, the time-frequency features of linear and non-stationary signals, the time-frequency features of non-linear and non-stationary signals, respectively [1-6]. HHT is a combination of empirical mode decomposition (EMD) and Hilbert s...

The Hilbert–Huang transform (HHT) has been used as a powerful tool for analyzing nonlinear and nonstationary time series. Soil loss is controlled by complicated physical processes thus fluctuates with nonlinearity nonstationarity over time. In order to further clarify the relationship between rainfall, surface runoff, sediment yield, this study adopted HHT analyze these characteristics through ...

The record of human brain neural activities, namely electroencephalogram (EEG), is known to be nonstationary in general. In addition, the human head is a non-linear medium for such signals. In many applications, it is useful to divide the EEGs into segments in which the signals can be considered stationary. Here, Hilbert-Huang Transform (HHT), as an effective tool in signal processing is applie...

Large diesel engines with a high number of cylinders usually have high speed, complex crankshaft and load, which strongly complicate the diagnostics based on the instantaneous angular speed (IAS). In order to improve the discrimination of the fault features, the ensemble empirical mode decomposition (EEMD) is proposed to analyze the IAS signal. Experiments are performed on a V12 diesel engine w...

A new pitch detection method is designed by the recurrence analysis in this paper, which is combined of Empirical Mode Decomposition (EMD) and Elliptic Filter (EF). The Empirical Mode Decomposition (EMD) of Hilbert-Huang Transform (HHT) is utilized tosolve the problem, and a noisy voice is first filtered on the elliptic band filter. The two Intrinsic Mode Functions (IMF) are synthesized by EMD ...

Hilbert–Huang transform (HHT) is a popular method to analyze nonlinear and non-stationary data. It has been widely used in geophysical prospecting. This paper analyzes the mode mixing problems of empirical mode decomposition (EMD) and introduces the noncontact measurement and detection of instantaneous seismic attributes using complementary ensemble empirical mode decomposition (CEEMD). Numeric...

The aim of this study is to simulate the contraction phenomena in pregnant uterine. Differential equations are used to model the uterine contractions for three states, namely contracting, refractory, and resting. Since verification and validation are vital for simulation systems, we compared our model with uterine magnetomyogram (MMG) data which are recorded non-invasively using SQUID-Array for...