The characterization and optimization of the microstructures of materials pertaining to
material properties is a primitive necessity to ensure the performance and service life of the …

The detection of long range dependence (LRD) is an important task in time series analysis.
LRD is often summarized by the well-known Hurst parameter (or exponent) H∈[0, 1], which …

In this study, fractal and multifractal self-affinity in two datasets (d1 and d2) of groundwater
level fluctuations time series, each having more than 2000 data points, were evaluated …

Zinc oxide (ZnO) thin films were prepared by atom beam sputtering at various deposition
angles in the range of 20–75°. The deposited thin films were examined by glancing angle X …

Should quality be almost a synonymous of complexity? To measure quality appears to be
audacious, even very subjective. It is hereby proposed to use a multifractal approach in …

The basic characteristic of a self-affine time series is that the persistence (or long-term
memory) is scale invariant and long-range. The persistence measures the correlation …

This work aims to propose a different approach to evaluate the operating conditions of a
scaled wind turbine through vibration analysis. The turbine blades were built based on the …

This work proposes to identify different imbalance levels in a scaled wind turbine through
vibration signals analysis. The experiment was designed in such a way that the acquired …

The stability of current methods of complexity measurement are generally Inefficient. In this
study, multifractal spectra (MFS) analysis, which depends on empirical mode decomposition …

Abstract Structure health monitoring of composite structures is essential for safety assurance
and attracted more attention in recent years. In this paper, a low velocity impact (LVI) …