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In this paper, a modified and improved approach to the recently proposed multiple-resonator-based observer structure for harmonic estimation has been proposed. In the previous papers, two inherent particular cases have been considered. In the first case, estimation is performed in the point located in the middle of the observation interval, and exhibits good noises and unwanted harmonics attenuation...
While most dereverberation methods focus on how to estimate the magnitude of an anechoic signal in the time-frequency domain, we propose a method which also takes the phase into account. By applying a harmonic model to the anechoic signal, we derive a formulation to compute the amplitude and phase of each harmonic. These parameters are then estimated by our method in presence of reverberation. As...
In this work, a multiple synchronous reference frame (MSRF) based plus optimized Moving Average Filter (MAF) is employed to extract the harmonics and interharmonics components of a three-phase current waveform recorded from transformer substation that feeds Electric Arc Furnace (EAF). EAF currents are one of the most critical issues in power quality (PQ) that usually cost issues like the light flicker...
Most of the robotic manipulators are used to perform only repetitive fixed objectives because the robustness of the motion is restrained due to the properties of grasping objects and tools. It is hard to perform a robust manipulation with grasping object based uncertainties. It is important to estimate physical parameters of the grasping object such as grasping position and inertia in order to extend...
Due to the nonstationary characteristic of the electric locomotives in electric traction systems, the equivalent grid impedance changes frequently, which may lead to detrimental effect on the control system of electric traction PWM rectifiers. The mathematical model of an electric traction PWM rectifier is established, and the double-loop control system is designed. An online grid inductance estimation...
A novel switching power loss estimation method for modular multilevel converters (MMCs) with the nearest level modulation (NLM) is introduced in this paper. It focuses on the switching actions caused only by change of the inserted submodule (SM) number per arm, named as the essential switching transitions. Every essential switching action can be identified under the assumption of ideal sinusoidal...
A novel decentralized method for harmonics detection and suppression is proposed. Compared with the traditional centralized style, harmonics optimal estimation task in micro-grid system is scattered to smart phasor measurement unit (PMU) nodes without a monitoring host. Similar to the structure, mechanism and characteristics of biological communities, a smart PMU can communicate with adjacent nodes...
This paper presents a novel nonlinear velocity estimation method for robotic joints based on inverse hyperbolic sine tracing differential algorithm. Unlike the conventional methods that using the motor-side position measurements to obtain the joint velocity, this paper addresses the problem of joint velocity estimation that using the link-side absolute encoder data, so that the kinematic error caused...
The most recent estimation algorithms for Phasor Measurement Units (PMUs) rely on increasingly complex signal models. The rationale of this general approach is that such models can support algorithms able to estimate not only amplitude, phase, frequency and rate of change of frequency (ROCOF) of the waveform fundamental component, but also the parameters of possible disturbances, thus reducing their...
Harmonics identification in distribution systems has always been a difficult task, due to the variety of the loads, more and more often nonlinear and unbalanced, and the spread of the harmonics along the grid. Typically, few real measurements are available in distribution systems, commonly in the HV-MV substations, whereas monitoring of power quality phenomena requires specific methodologies and measurement...
The aim of this paper is to investigate the implementation of an adaptive generalized delayed signal cancellation (DSC) method for estimation of phase-sequence components. The proposed approach overcomes the intrinsic problems of the digital implementation of the classical DSC algorithm due to nonideal selection of the sampling frequency and variations in the nominal system frequency. The derived...
The demand for electrical energy is increasing day by day and achieving high quality energy is becoming very important subject. Especially, harmonics occurred in power systems not only reduce the quality of the energy but also cause dangerous situations such as heating and burning. For this reason, the estimation of the amplitude and phase of harmonics plays an important role in the design of electrical...
Spectral leakage and picket fence effect in Fourier transform will affect the accuracy of harmonic analysis under asynchronous sampling. To overcome this defect, a novel algorithm for power system harmonic analysis called Frequency Shifting and Filtering (FSF) algorithm is proposed in this paper. In this method, a reference signal is given to shift the frequency of original signal. And then the filter...
In this paper we investigate how to assess the ultrasound nonlinearity coefficient using plane wave imaging. We employ the technique based on excitation of the medium with ultrasonic pulses of increasing amplitude level. As the pulse pressure is increased, due to medium nonlinearity, higher fraction of energy is transferred from the fundamental to higher harmonics during the propagation. In this case...
The article focuses on the classification of the singing voices into their types: soprano, alto, tenor, bass. The assignment of a singing voice to a type is one of the procedures that can influence the further development of the voice. That classification is usually done by an expert experienced in the field of voice production. Improper voice classification can have a negative impact on vocal development...
This paper presents an automatic approach for parameter training for a sparsity-based pitch estimation method that has been previously published. For this pitch estimation method, the harmonic dictionary is a key parameter that needs to be carefully prepared beforehand. In the original method, extensive human supervision and involvement are required to construct and label the dictionary. In this study,...
Context: Software effort estimation is a critical factor for project success. A new approach called ensemble effort estimation gets popular because of its performance. While many combination rules have been proposed, they were only compared in a systematic literature review. Objective: To compare linear combination rules proposed in the past studies under the same condition based on empirical approach...
As a special frequency estimation problem, harmonics estimation has applications in speech and audio processing, power systems, healthcare monitoring, etc. In this paper, we make a first attempt to propose a gridless sparse method for harmonics estimation exploiting the harmonics structure. The method uses the atomic norm with carefully designed atoms and is formulated as a convex optimization problem...
We present an end-to-end system for musical key estimation, based on a convolutional neural network. The proposed system not only out-performs existing key estimation methods proposed in the academic literature; it is also capable of learning a unified model for diverse musical genres that performs comparably to existing systems specialised for specific genres. Our experiments confirm that different...
The paper is focused on finding appropriate and systematic procedures of denoising highly distorted small currents with significant “signal to noise” ratios and on evaluating the denoising effects over the power quality (PQ) indices. Real currents were acquired from 2 consumers placed in a small industrial hall with highly variable power consumptions. Denoising procedures relying on wavelet based...
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