Road pavement cracks detection has been a hot research topic for quite a long time due to
the practical importance of crack detection for road maintenance and traffic safety. Many …

Rotating machinery covers a broad range of mechanical equipment and plays a significant
role in industrial applications. It generally operates under tough working environment and is …

Wind speed is the major factor that affects the wind generation, and in turn the forecasting
accuracy of wind speed is the key to wind power prediction. In this paper, a wind speed …

The global climate has been experiencing significant warming at an unprecedented pace in
the past century,. This warming is spatially and temporally non-uniform, and one needs to …

The EMD algorithm is a technique that aims to decompose into their building blocks
functions that are the superposition of a (reasonably) small number of components, well …

The phenomenon of mode-mixing caused by intermittence signals is an annoying problem
in Empirical Mode Decomposition (EMD) method. The noise assisted method of Ensemble …

A new Ensemble Empirical Mode Decomposition (EEMD) is presented. This new approach
consists of sifting an ensemble of white noise-added signal (data) and treats the mean as …

This paper is a tutorial on Hilbert transform applications to mechanical vibration. The
approach is accessible to non-stationary and nonlinear vibration application in the time …

Data analysis has been one of the core activities in scientific research, but limited by the
availability of analysis methods in the past, data analysis was often relegated to data …

Empirical mode decomposition (EMD) has recently been pioneered by Huang et al. for
adaptively representing nonstationary signals as sums of zero-mean amplitude modulation …