The neurological disorder which is associated with the abnormal electrical activity generated from brain causing seizures typically termed as epilepsy. automated detection and classification of epilepsy based on analysis electroencephalogram (EEG) signal are highly required for its early diagnosis. In this paper, we have developed an EEG-rhythm specific Taylor-Fourier filter-bank implemented O-splines EEG signal. energy features evaluated sub-band signals classifiers such K-nearest neighbor...

In this study, a novel algorithm for detecting and classifying faults in high-voltage transmission lines is proposed. The based on the discrete wavelet transform (DWT) singular value decomposition (SVD). DWT used extracting currents' high-frequency components under fault conditions. Signals each condition are scaled frequency, order to build matrix. By means of SVD, maximum calculated employed proposal. attained results exhibit that represents good indicator issue. This approach power...

The digital Taylor-Fourier transform (DTFT) is used to identify low-frequency electromechanical modes in power systems. identification process based on the time-frequency analysis of nonlinear signals that arise after a large disturbance. DTFT creates signal decomposition, from which mono-component are extracted by spectral using filter bank. This accomplished through sliding-window data, updated each sample, yielding estimates reconstructed and providing information its instantaneous...

Accurate detection and classification of life-threatening ventricular arrhythmia episodes such as fibrillation (VF) rapid tachycardia (VT) from electrocardiogram (ECG) is a challenging problem for patient monitoring defibrillation therapy. This paper introduces novel method episodes. The ECG signal decomposed into various oscillatory modes using digital Taylor-Fourier transform (DTFT). magnitude feature phase namely the difference (PD) are evaluated mode coefficients signal. least square...

This article proposes a novel optimal hybrid control framework to improve the voltage profile of highly unbalanced Distribution Grids (DGs) by coordinating injection reactive power from multiple off-board Electrical Vehicles (EVs) chargers. It exploits time-synchronized measurements advantages, centralized control, and local controllers embedded into hierarchical scalable scheme, coordinated distribution system operator (DSO). The proposed is aimed increase modern electrical networks'...

This study deals with the faults’ detection and classification in AC transmission lines based on power spectral density (PSD), introducing PSD time frequency for analysing transient information under faulted conditions. The discrete wavelet transform is used scaling current signals time–frequency at different decomposition levels by approximation detail coefficients. Then, a wavelet‐covariance matrix shaped aim to obtain its PSD, being this key detect classifying faults. Results show that...

Atrial fibrillation (AF) is a common atrial arrhythmia occurring in clinical practice and can be diagnosed using electrocardiogram (ECG) signal. The conventional diagnostic features of ECG signal are not enough to quantify the pathological variations during AF. Therefore, an automated detection AF pathology new required. This paper proposes novel method for signals. In this work, we nonlinear namely, two-stage variational mode decomposition (VMD) analyze deep belief network (DBN) detection....

This article proposes a novel ultra-fast self-powered bidirectional solid-state circuit breaker (SSCB) with voltage overshoot suppression that uses gallium nitride switches very low conduction losses. SSCB can be used in and medium ac/dc networks for both short-circuit protection overcurrent protection. An exhaustive methodology RCD snubber design applied to SSCBs is provided. A comprehensive review of the technical literature presented exhibiting proposed reduces losses detection time...

Abstract Electrical power systems are continuously upgrading into networks with a higher degree of automation capable identifying and reacting to different events that may trigger undesirable situations. In decreasing inertia damping levels, poorly damped oscillations sustained or growing amplitudes following disturbance eventually lead instability provoke major event such as blackout. Additionally, the increasing considerable share renewable generation, unprecedented operational challenges...

The transient response of the digital filter for relaying purposes has been improved by means Taylor–Kalman–Fourier (TKF) filter. This is focused on a dynamic phasor, which adapted to operating conditions and based signal model that approximated Kth Taylor polynomial. extended Kalman Fourier subspaces in order provide instantaneous estimates through its recursive property. TKF renders phasor at each sample enhances impedance estimation under fault conditions. fact results demonstrate...

Synchrophasor estimators are nowadays evaluated with the Total Vector Error (TVE) using synchrophasor representations of few benchmark signals. This dependence prevents its application to power signals real events. A new method obtain is proposed in this paper. finite impulse response (FIR) filter, designed nonic O-spline phasor estimates asymptotically close those an ideal bandpass filter. The estimation accuracy one or several Phasor Measurement Units (PMUs) can be then assessed standard....

The growth in distributed energy resources (DERs) is an important step toward solving the global climate crisis. However, many DERs, such as wind and solar power, are random intermittent, causing data power grids to be perturbed with high uncertainty. Such perturbations degrade performance of data-driven algorithms introduced for sensing control. Existing approaches can strengthen machine learning models against well-designed malicious attacks. physics-agnostic efforts fail ensure robustness...

This article proposes a fast-response sliding mode controller for semibridgeless boost converter under large and quick load fluctuations to ensure tight output voltage regulation unity power factor correction at the line side. In this sense, novel approach estimating reference current profile is presented focusing on real-time phasor estimation via O-splines of discrete-time Taylor-Fourier transform. method allows improving computational efficiency dynamic performance estimations amplitude,...

This paper proposes a real-time co-simulated framework to experimentally validate the dynamic performance of network-level controllers in power systems. The experiment setup includes coordinated emulation transmission network linked distribution feeder and real distributed energy sources, working multi-platform multi-manufacturer environment. operation an optimal hierarchical controller for voltage frequency support network, which exploits injection from battery storage systems (BESS), is...