<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> Since its invention, the phasor has essentially been considered as a steady-state concept. Up to now, this assumption shaped most of algorithms for estimation. This paper breaks that old paradigm by relaxing static concept dynamic one, i.e., phasor, which is one complex time function with movement freedom. presents algorithm approximate second-order Taylor polynomial and compares estimate...

<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> Estimates of the dynamic phasor and its derivatives are obtained through weighted least squares solution a Taylor approximation using classical windows as weighting factors. This leads to differentiators with ideal frequency response around fundamental very low sidelobe level over stopband, which implies noise sensitivity. The maximally flat in interval centered at have linear phase response....

A new dynamic harmonic estimator is presented as an extension of the fast Fourier transform (FFT), which assumes a fluctuating complex envelope at each harmonic. This able to estimate harmonics that are time varying inside observation window. The receives name "Taylor–Fourier (TFT)" since it based on McLaurin series expansion envelope. Better estimates obtained due fact subspace contained in generated by Taylor–Fourier basis. coefficients TFT have physical meaning: they represent...

Recently, the <formula formulatype="inline" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex Notation="TeX">$\hbox{Taylor}^{K}$</tex></formula> Kalman filter was proposed for estimating instantaneous oscillating phasors. Its performance examined through time-domain simulations using benchmark test signals specified in IEEE Standard Synchrophasors Power Systems. It discovered that estimation error level abruptly reduced by a factor of ten from...

Prony's method can be used as a dynamic phasor estimator. It regarded the adaptive approximation of its complex exponential signal model to an oscillation over finite time interval. Equipped with closed model, it is possible implement in one cycle. In first stage, estimates best damping and frequency for model; and, second one, considered window. This paper compares performance that very wellknown one-cycle Fourier filter. With higher flexibility, due nature, Prony improve ones under...

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...

This paper reviews the status of floating wind energy expansion, market needs, opportunities, and barriers. Even more expensive than many other generation technologies currently, will contribute to decarbonization Europe. document assesses strategies available develop farms in The study includes four main phases addition overview current state-of-the-art: a technology review, outlook, commercialization During its development, offshore has moved from experimentation final design...

The state-transition matrix of the <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">K</i> th order Taylor approximation to dynamic phasor and its first derivatives leads a plurality state-space representations approach bandpass signal model power oscillation. With these truncated models, Kalman filter algorithm can be applied their state vectors in find observers able estimate derivatives. estimates obtained through this technique, from oscillatory...

Synchrophasor estimation research has recently shifted emphasis from the phasor to frequency and rate of change problem. The main concern now is achieve finer dynamic spectral analysis power system signals. This paper proposes use Taylor-Fourier filters reduce error whole set estimated parameters. reduction attained by exploiting their capability match phase pattern signal one next. By being endowed with own follower, they are able point basis vectors toward given signal, providing best...

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...

A comprehensive description of the phasor estimation process leads to ideal criteria that a digital filter must fulfill in order provide more accurate estimates under power system oscillations. The raised cosine filter, widely used transmission, is described and proposed approach those criteria. Simulation results corroborate an improvement performance (accuracy speed) these as compared with obtained Fourier-boxcar commonly present commercial applications.

Recently, the Taylor–Fourier transform (TFT) was proposed to analyze spectrum of signals with oscillating harmonics. The coefficients this linear transformation were obtained through calculation pseudoinverse matrix, which provides classical solution normal equations least-squares (LS) approximation. This paper presents a filtering design technique that obtains filters at each harmonic by imposing maximally flat conditions polynomials defining their frequency responses. condition can be used...

The challenge of controlling floating offshore wind turbines arises due to the soft support structures and complex environmental excitations. Reducing generator speed power fluctuation, damping motions platform alleviating fatigue loads at tower base have been investigated in recent projects. This paper reviews summarizes a selection methodologies that discussed over past years. These methods are then evaluated on TELWIND-5MW-FOWT. First, linear analysis closed-loop with different control...

Splines are at the essence of signal processing. Not only in sampling and interpolation, but also filter design, image processing, multi-resolution analysis. A new class splines is presented here. They referred to as O-splines since their knots separated by one fundamental cycle. used optimal state samplers, sense that coefficients provide derivatives for best Taylor approximation a given about time instance or Hermite interpolation between two them. impulse response filters Discrete-Time...

A new algorithm for phasor estimation is proposed. It based on a signal model that allows amplitude and phase dynamic variations. An autoregressive moving average (ARMA) assumed the oscillating signal. Its part fixed, it defined only by nominal fundamental frequency. best parameters are estimated with Shanks' method. These provide key information from which state vector through partial fraction expansion of ARMA rational polynomial. estimates could be useful, not monitoring controlling power...

Blood pressure oscillometric waveforms behave as amplitude modulated nonlinear signals with frequency fluctuations. Their oscillating nature can be better analyzed by the digital Taylor-Fourier transform (DTFT), recently proposed for phasor estimation in power systems. Based on a relaxed signal model that includes Taylor components greater than zero, DTFT is able to estimate not only oscillation itself, does Fourier (DFT), but also its derivatives included model. In this paper, an waveform...

Power oscillating signals are analyzed with the Discrete Taylor-Fourier Transform (DTFT). This is implemented by modulating impulse responses of its low-pass differentiators, defined a family O-splines. implementation reduces computational complexity since in practice only small subset filters applied. The estimated parameters provide richer dynamic information than traditional methods, particular, space representation for each component, and detection frequency modulated events. Their...

Measuring the blood pressure as accurately possible can save a lot of human lives. Hence, it is very important to find an optimal method determine systolic and diastolic pressures out measured oscillometric waveform (OBPW). Recently, studies have shown that by working in frequency domain, outperforming results could be obtained for separation breathing from cardiac activity. In this paper, we present new implementation Kalman filtering algorithm estimate envelope Even though alternating...

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....

Using an electrically focus tunable lens (EFTL) in F-scan setup and a femtosecond-pulse laser (Mai Tai HP), we were able to measure the degenerated two-photon absorption coefficient (in transmission) of CdS ZnSe extended range wavelengths (690-1040 nm), with 5 nm resolution. The process measuring takes less than 30 minutes. We compared our results theoretical approaches for dispersion relations nonlinear properties semiconductors found excellent agreement experimental results. also compare...

Phasors have been considered as an entirely steady state concept. This assumption has shaped most of the algorithms for phasor estimation. paper breaks that old paradigm by relaxing concept to a dynamic one: phasor, one complex time function with movement freedom. The presents approximate second-order Taylor polynomial and compares them traditional one. provide n-th order phasors containing not only samples envelope, but also its first second derivatives. These new add details estimation...

This paper presents and analyzed short circuit failures for permanent magnet synchronous motor (PMSM). The study includes stated state dynamic condition experimental test. stator current is by means of Hilbert-Huang transform (HHT) energy spectrum.