Signal decomposition (SD) approaches aim to decompose non-stationary signals into their
constituent amplitude-and frequency-modulated components. This represents an important …

In order to realize the economic dispatch and safety stability of offshore wind farms, and to
address the problems of strong randomness and strong time correlation in offshore wind …

Early detection of electrical faults is a very essential research area due to its positive
influence on network stability and customer satisfaction. Despite of the electrical fault …

The increasing demand on electrical power consumption all over the world makes the need
of stable and reliable electrical power grids is indispensable. However, one of hostile …

Early and accurate fault detection in electrical power grids is a very essential research area
because of its positive influence on network stability and customer satisfaction. Although …

This article presents a plastic pipeline leak localization method based on wavelet packet
decomposition and higher order cumulants. The hydrophone sensors are used to capture …

Tacholess order tracking (TLOT) has been one of the most powerful and applicable rotating
machinery fault diagnosis methods. However, it is still a challenge to accurately estimate the …

The quality of asymptomatic corona virus disease 2019 (COVID-19) computed tomography
(CT) image is reduced due to interference from Gaussian noise, which affects the …

Water leaks are commonly detected using acoustic/vibration sensors, which are sensitive to
sounds and vibrations caused by leakage. In practical surveys, the degree of success for …

The time-varying characteristics of the underwater environment lead to complicated
background noise in collected signals. To reduce the negative impact of noise, this paper …