Under some author's opinion the wind is not a periodical phenomenon and therefore it is
more reasonable to invest in renewable periodical energies as tides. In this paper we have …

In this paper, the discrete wavelet transform (DWT) and a chaotic system were combined
with a convolutional neural network (CNN) and applied to the diagnosis of insulation faults …

This paper revisits the characteristics of windowing techniques with various window
functions involved, and successively investigates spectral leakage mitigation utilizing the …

The rapid development of advanced metering infrastructure provides a new data source—
building electrical load profiles with high temporal resolution. Electric load profile …

Motor current signature analysis has become a widespread fault diagnosis technique for
induction machines (IMs), because it is noninvasive and requires low resources of hardware …

This study proposes a dual-function radar and communication (DFRC) system that utilizes
radar transmission parameters as modulation indexes to transmit data to the users while …

Radio Frequency Interference (RFI) is a growing problem in Synthetic Aperture Radar (SAR)
systems as scientific motivations push the radars to lower frequencies and as more wireless …

The composite interpolated fast Fourier transform (IpFFT) with the Hanning window is
investigated to decrease the estimation variance. This form of composite IpFFT makes use of …

The Permanent Magnet Synchronous Motor (PMSM) is the power source maintaining the
stable and efficient operation of various pieces of equipment; hence, its reliability is crucial to …

The quality of life and human survival is dependent on sustainable development and
sanitation of water bodies in an environment. The present research focuses on cyclicity data …