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    Wyświetlanie 1-13 z 13
    Tytuł:
    Investigation of supra-harmonics through signal processing methods in smart grids
    Autorzy:
    Yalcin, T.
    Ozdemir, M.
    Kostyla, P.
    Leonowicz, Z.
    Powiązania:
    https://bibliotekanauki.pl/articles/136245.pdf
    Data publikacji:
    2017
    Wydawca:
    EEEIC International Barbara Leonowicz Szabłowska
    Tematy:
    ensemble empirical mode decomposition
    power quality
    Fourier analysis
    Short Time Fourier Transformation
    Opis:
    Nowadays supra-harmonic distortion studies are gaining attention day by day in power quality research area. When handling communication systems especially Power Line Carrier (PLC) systems in frequency range 2-150 kHz, they are suitable for causing electromagnetic interference (EMI) to other systems. This study shows results of analysis employing advanced method called ensemble empirical mode decomposition (EEMD) to describe supra-harmonic distortion. Unlike the traditional method (short time fourier transform-STFT), EEMD gives extensive representation for supra-harmonic components.
    Źródło:
    Transactions on Environment and Electrical Engineering; 2017, 2, 2; 80-85
    2450-5730
    Pojawia się w:
    Transactions on Environment and Electrical Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Comparison of the EEG Signal Classifiers LDA, NBC and GNBC Based on Time-Frequency Features
    Porównanie klasyfikatorów LDA, NBC i GNBC sygnału EEG stosujących cechy czasowo-częstotliwościowe
    Autorzy:
    Szuflitowska, B.
    Orłowski, P.
    Powiązania:
    https://bibliotekanauki.pl/articles/275175.pdf
    Data publikacji:
    2017
    Wydawca:
    Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
    Tematy:
    electroencephalograph classification
    machine learning
    short-time Fourier transform
    time-frequency analysis
    elektroencefalografia
    klasyfikacja
    uczenie maszynowe
    krótkoczasowa transformata Fouriera
    analiza czasowo-częstotliwościowa
    Opis:
    EEG signals are non-stationary and used to study the activities of the brain in pathology. Epilepsy belongs to the most common neurological diseases. In the paper, real EEG sequences described by a doctor as normal and epileptic (ictal and interictal) are used. In classification process these sequences are divided into training and testing subsets. The classification are performed using Short-Time Fourier Transform. Based on obtained spectrum four features have been extracted. The study presents experiments based on the analysis and classification of EEG signals using various methods, including Linear Discriminant Analysis, Naive Bayes Classifier and Gaussian Naive Bayes Classifier. The results indicated that used techniques a potential to be applied within an automatic neurologic diseases diagnosis system and could thus further increase the number of correct diagnoses.
    Sygnały EEG są z definicji niestacjonarne i stosowane do badania aktywności mózgu w patologii. Epilepsja należy do najczęstszych chorób neurologicznych. W pracy użyto rzeczywistych sekwencji EEG określonych przez lekarza jako stan normalny oraz padaczka (stany napadowe oraz międzynapadowe). W procesie klasyfikacji sygnały zostały podzielone na dwa podzbiory – uczący oraz testujący. Klasyfikacja została przeprowadzona za pomocą krótkotrwałej transformaty Fouriera. Na podstawie otrzymanego widma dokonano ekstrakcji czterech cech. Badanie przedstawia eksperymenty oparte na analizie i klasyfikacji sygnałów EEG za pomocą różnych metod, w tym Liniowej Analizy Dyskryminacyjnej, Naiwnego Klasyfikatora Bayesa oraz Naiwnego Klasyfikatora Bayesa dla rozkładu Gaussa. Wyniki pokazują, że użyty algorytm może być potencjalnie stosowany w automatycznej diagnostyce schorzeń neurologicznych i może w przyszłości zwiększyć liczbę poprawnie stawianych diagnoz.
    Źródło:
    Pomiary Automatyka Robotyka; 2017, 21, 2; 39-45
    1427-9126
    Pojawia się w:
    Pomiary Automatyka Robotyka
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Infrared devices and techniques (revision)
    Autorzy:
    Rogalski, A.
    Chrzanowski, K.
    Powiązania:
    https://bibliotekanauki.pl/articles/221154.pdf
    Data publikacji:
    2014
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    frequency analysis
    time-frequency analysis
    short-time Fourier transform
    Gabor transform
    Wigner-Ville transform
    Cone-Shaped Transform
    wavelet analysis
    time-scale analysis
    wavelet decomposition
    filter banks
    wavelet packets
    Opis:
    The main objective of this paper is to produce an applications-oriented review covering infrared techniques and devices. At the beginning infrared systems fundamentals are presented with emphasis on thermal emission, scene radiation and contrast, cooling techniques, and optics. Special attention is focused on night vision and thermal imaging concepts. Next section concentrates shortly on selected infrared systems and is arranged in order to increase complexity; from image intensifier systems, thermal imaging systems, to space-based systems. In this section are also described active and passive smart weapon seekers. Finally, other important infrared techniques and devices are shortly described, among them being: non-contact thermometers, radiometers, LIDAR, and infrared gas sensors.
    Źródło:
    Metrology and Measurement Systems; 2014, 21, 4; 565-618
    0860-8229
    Pojawia się w:
    Metrology and Measurement Systems
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Electrochemical grinding of titanium-containing materials
    Autorzy:
    Przystupa, K.
    Litak, G.
    Powiązania:
    https://bibliotekanauki.pl/articles/102219.pdf
    Data publikacji:
    2017
    Wydawca:
    Stowarzyszenie Inżynierów i Techników Mechaników Polskich
    Tematy:
    hybrid processes
    electrochemical grinding (ECG)
    micro short-circuit
    time-frequency analysis
    Opis:
    The paper focuses on machining difficult-to-cut materials where a significant component is titanium. The paper discusses a complex process of electrochemical grinding (ECG). A practical example was given by discussing the results of ECG. Selected difficult-to-cut materials, along with their typical ECG properties, were compared. In addition, the paper discusses the phenomenon of micro short-circuits constituting a form of an interference characteristic for the process. The results presented in the paper refer to the phenomenon of a micro short-circuits, i.e. the case when a rapid and uncontrolled electrical discharge occurs in the machining zone. The paper presents examples of recorded micro short-circuits and attempts a time-frequency analysis regarding the occurrence of the disturbance. To reveal the dynamics of the ECG process we applied wavelet analysis.
    Źródło:
    Advances in Science and Technology. Research Journal; 2017, 11, 4; 183-188
    2299-8624
    Pojawia się w:
    Advances in Science and Technology. Research Journal
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Diagnosis of ITSC fault in the electrical vehicle powertrain system through signal processing analysis
    Autorzy:
    Ouamara, Dehbia
    Boukhnifer, Moussa
    Chaibet, Ahmed
    Maidi, Ahmed
    Powiązania:
    https://bibliotekanauki.pl/articles/2174472.pdf
    Data publikacji:
    2023
    Wydawca:
    Polska Akademia Nauk. Polskie Towarzystwo Diagnostyki Technicznej PAN
    Tematy:
    induction motor
    electrical vehicle
    fault diagnosis
    inter-turn short circuit
    extended Kalman filter
    spectral analysis
    fast Fourier transform
    short-time Fourier transform
    silnik indukcyjny
    pojazd elektryczny
    diagnostyka uszkodzeń
    zwarcie międzyzwojowe
    rozszerzony filtr Kalmana
    analiza spektralna
    szybka transformata Fouriera
    krótkoczasowa transformata Fouriera
    Opis:
    The three-phase induction motor is well suited for a wide range of mobile drives, specifically for electric vehicle powertrain. During the entire life cycle of the electric motor, some types of failures can occur, with stator winding failure being the most common. The impact of this failure must be considered from the incipient as it can affect the performance of the motor, especially for electrically powered vehicle application. In this paper, the intern turn short circuit of the stator winding was studied using Fast Fourier transform (FFT) and Shor-Time Fourier transform (STFT) approaches. The residuals current between the estimated currents provided by the extended Kalman filter (EKF) and the actual ones are used for fault diagnosis and identification. Through FFT, the residual spectrum is sensitive to faults and gives the extraction of inter-turn short circuit (ITSC) related frequencies in the phase winding. In addition, the FFT is used to obtain information about when and where the ITSC appears in the phase winding. Indeed, the results allow to know the faulty phase, to estimate the fault rate and the fault occurrence frequency as well as their appearance time.
    Źródło:
    Diagnostyka; 2023, 24, 1; art. no. 2023113
    1641-6414
    2449-5220
    Pojawia się w:
    Diagnostyka
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Joint time-frequency and wavelet analysis - an introduction
    Autorzy:
    Majkowski, A.
    Kołodziej, M.
    Rak, R. J.
    Powiązania:
    https://bibliotekanauki.pl/articles/220841.pdf
    Data publikacji:
    2014
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    frequency analysis
    time-frequency analysis
    short-time Fourier transform
    Gabor transform
    Wigner-Ville transform
    Cone-Shaped Transform
    wavelet analysis
    time-scale analysis
    wavelet decomposition
    filter banks
    wavelet packets
    Opis:
    A traditional frequency analysis is not appropriate for observation of properties of non-stationary signals. This stems from the fact that the time resolution is not defined in the Fourier spectrum. Thus, there is a need for methods implementing joint time-frequency analysis (t/f) algorithms. Practical aspects of some representative methods of time-frequency analysis, including Short Time Fourier Transform, Gabor Transform, Wigner-Ville Transform and Cone-Shaped Transform are described in this paper. Unfortunately, there is no correlation between the width of the time-frequency window and its frequency content in the t/f analysis. This property is not valid in the case of a wavelet transform. A wavelet is a wave-like oscillation, which forms its own “wavelet window”. Compression of the wavelet narrows the window, and vice versa. Individual wavelet functions are well localized in time and simultaneously in scale (the equivalent of frequency). The wavelet analysis owes its effectiveness to the pyramid algorithm described by Mallat, which enables fast decomposition of a signal into wavelet components.
    Źródło:
    Metrology and Measurement Systems; 2014, 21, 4; 741-758
    0860-8229
    Pojawia się w:
    Metrology and Measurement Systems
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Analysis of lung auscultatory phenomena using the Wigner-Ville Distribution
    Autorzy:
    Maciuk, M.
    Kuniszyk-Jóźkowiak, W.
    Doboszynska, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/106244.pdf
    Data publikacji:
    2012
    Wydawca:
    Uniwersytet Marii Curie-Skłodowskiej. Wydawnictwo Uniwersytetu Marii Curie-Skłodowskiej
    Tematy:
    Wigner-Ville Distribution
    WVD
    digital analysis
    auscultatory sound
    computer aided diagnosis
    Short-Time Fourier Transform
    STFT
    Smoothed Wigner-Ville Distribution
    SWVD
    Opis:
    In this paper the authors will try to discuss the applicability of Wigner-Ville Distribution for the digital analysis of auscultatory sounds. First of all, thte issues related to computer aided diagnosis are presented. Next, the methodology of research is shown and subsequently, the types of sounds are described. Another element of this work is the presentation of issues related to the digital signal processing including the Short-Time Fourier Transform(STFT), Wigner-Ville Distribution (WVD), and its variation - Smoothed Wigner-Ville Distribution (SWVD). This paper summarizes the results obtained using STFT and SWVD, showing SWVD more useful to detect the type of auscultatory sounds.
    Źródło:
    Annales Universitatis Mariae Curie-Skłodowska. Sectio AI, Informatica; 2012, 12, 1; 7-16
    1732-1360
    2083-3628
    Pojawia się w:
    Annales Universitatis Mariae Curie-Skłodowska. Sectio AI, Informatica
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    The use of wavelet analysis to assess the degree of wear of working elements of food extruders
    Wykorzystanie analizy falkowej do oceny stopnia zużycia elementów roboczych ekstruderów spożywczych
    Autorzy:
    Ekielski, A.
    Żelaziński, T.
    Durczak, K.
    Powiązania:
    https://bibliotekanauki.pl/articles/1365730.pdf
    Data publikacji:
    2017
    Wydawca:
    Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
    Tematy:
    wavelet analysis
    Short Time Fourier Transformation
    Continuous Wavelet Transformation
    extruder barrel
    analiza falkowa
    STFT
    skalogram CWT
    cylinder ekstrudera
    Opis:
    The paper presents the evaluation of the wear status of the single-screw extruder working elements on the basis of die pressure and screw load toque load values changes. The changes of this parameters were analyzed as frequency spectrum using the tools of wavelet analysis. In the study plan the hypothesis was formulated that the assessment of extruder elements wear level is possible through observation of the frequency of process parameters changes. Due to the dynamic characteristics of the process in the determination of natural frequencies Morlet wavelet transform was used. Research was carried out for three heights of longitudinal wedges: 4, 2 and 1 mm. During experiment the extruder drive line load and the extruder screw speed were changed. It has been found that based on the observation of changes in resonant frequencies, it is possible to accurately assess the wear degree of friction elements in a single screw extruder. Moreover, it has been noted that the wavelet analysis may be an effective tool for the assessment of the extruder working elements wear level.
    W pracy przedstawiono ocenę stanu zużycia elementów roboczych ekstrudera jednoślimakowego na podstawie obserwacji zmian składowych częstotliwościowych widma obciążenia układu napędowego ślimaka ekstrudera i ciśnienia w matrycy przy wykorzystaniu narzędzi analizy falkowej. W planie badań sformułowano hipotezę, że możliwa jest ocena stopnia zużycia elementów roboczych ekstrudera przez obserwację częstotliwości zmian parametrów procesowych. Ze względu na dynamiczne cechy procesu przy wyznaczeniu częstotliwości własnych wykorzystano falkę Morlet’a. Badania przeprowadzono dla trzech wysokości klinów wzdłużnych 4, 2 i 1 mm. Podczas eksperymentu zmieniano obciążenia ekstrudera oraz prędkość obrotową ślimaka. Stwierdzono, że na podstawie obserwacji zmian częstotliwości rezonansowych można precyzyjnie oszacować stopień zużycia elementów ciernych w ekstruderze jednoślimakowym. Ponadto zaobserwowano, że analiza falkowa może być skutecznym narzędziem oceny stopnia zużycia elementów roboczych ekstrudera.
    Źródło:
    Eksploatacja i Niezawodność; 2017, 19, 4; 560-564
    1507-2711
    Pojawia się w:
    Eksploatacja i Niezawodność
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Comparison of sine-wave frequency estimation methods in respect of speed and accuracy for a few observed cycles distorted by noise and harmonics
    Autorzy:
    Borkowski, J.
    Kania, D.
    Mroczka, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/220583.pdf
    Data publikacji:
    2018
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    DFT spectrum interpolation
    short-time frequency estimation
    statistical analysis
    Prony LS
    TLS
    ESPRIT
    Opis:
    The paper deals with frequency estimation methods of sine-wave signals for a few signal cycles and consists of two parts. The first part contains a short overview where analytical error formulae for a signal distorted by noise and harmonics are presented. These formulae are compared with other accurate equations presented previously by the authors which are even more accurate below one cycle in the measurement window. The second part contains a comparison of eight estimation methods (ESPRIT, TLS, Prony LS, a newly developed IpDFT method and four other 3-point IpDFT methods) in respect of calculation time and accuracy for an ideal sine-wave signal, signal distorted by AWGN noise and a signal distorted by harmonics. The number of signal cycles is limited from 0.1 to 3 or 5. The results enable to select the most accurate/fastest estimation method in various measurement conditions. Parametric methods are more accurate but also much slower than IpDFT methods (up to 3000 times for the number of samples equal to 5000). The presented method is more accurate than other IpDFT methods and much faster than parametric methods, which makes it possible to use it as an alternative, especially in real-time applications.
    Źródło:
    Metrology and Measurement Systems; 2018, 25, 2; 283-302
    0860-8229
    Pojawia się w:
    Metrology and Measurement Systems
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Analysis of vibration signals using short-time analysis and clustering in parameter space for detection of combustion engine state
    Autorzy:
    Boguś, Piotr
    Merkisz, Jerzy
    Powiązania:
    https://bibliotekanauki.pl/articles/134160.pdf
    Data publikacji:
    2019
    Wydawca:
    Polskie Towarzystwo Naukowe Silników Spalinowych
    Tematy:
    vibration signals
    Diesel engine diagnostic
    short-time analysis
    clustering
    sygnały drganiowe
    diagnostyka silników wysokoprężnych
    analiza krótkoczasowa
    klasteryzacja
    Opis:
    The paper presents a short-time analysis of the vibration signals for the diagnosis of Diesel engine of combustion locomotive by recognition of different engine states using the clustering technique. The main aim of the researches was to distinguish between different engine states represent different wear extends. The proposed method of vibration signal analysis consists on sliding a time window along signal in time and observing the changes of some given statistical parameters. The set of this parameter values creates a multidimensional parameter space where the time evolution can be observed. For recognition and detection of different engine system states some clustering techniques in the parameter space were performed. The results show the possibility of distinguishing different cluster centers within the parameter space which can be assigning to different engine states represented the states before and after a general repair.
    Źródło:
    Combustion Engines; 2019, 58, 2; 83-87
    2300-9896
    2658-1442
    Pojawia się w:
    Combustion Engines
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Acoustical Analysis of Enclosure as Initial Approach to Vehicle Induced Noise Analysis Comparatevely Using STFT and Wavelets
    Autorzy:
    Błażejewski, A.
    Kozioł, P.
    Łuczak, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/176551.pdf
    Data publikacji:
    2014
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    modal analysis
    short-time Fourier transform
    wavelet transform
    acoustic signal processing
    Opis:
    It is assumed in the paper that the signals in the enclosure in a transient period are similar to a noise induced by vehicles, tracks, cars, etc. passing by. The components of such signals usually points out specific dynamic processes running during the observation or measurements. In order to choose the best method of analysis of these phenomena, an acoustic field in a closed space with a sound source inside is created. Acoustic modes of this space influence the sound field. Analytically, the modal analyses describe the above mentioned phenomena. The experimental measurements were conducted in the room that might comprise the closed space with known boundary conditions and the sound source Br¨uel & Kjær Omni-directional type 4292 inside. To record sound signals before the field’s steady state was reached, the microphone type 4349 and the 4-channel frontend 3590 had been used. The obtained signals have been analysed by using two approaches, i.e. Fourier and the wavelet analysis, with the emphasis on their efficiency and the capability to recognise important details of the signal. The results obtained for the enclosure might lead to the formulation of a methodology for an extended investigation of a rail track or vehicles dynamics.
    Źródło:
    Archives of Acoustics; 2014, 39, 3; 385-394
    0137-5075
    Pojawia się w:
    Archives of Acoustics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Short time vibration analysis and parameterisation as a tool for machine prototypes testing
    Autorzy:
    Barczewski, Roman
    Powiązania:
    https://bibliotekanauki.pl/articles/2146636.pdf
    Data publikacji:
    2020
    Wydawca:
    Politechnika Poznańska. Instytut Mechaniki Stosowanej
    Tematy:
    machine vibration
    non-stationarity identification
    short time signal analysis
    drgania maszyn
    identyfikacja niestacjonarności
    krótkoczasowa analiza sygnału
    Opis:
    The paper outlines the idea of using the short-time vibration signal processing for testing machines of a complex design, particularly the machines consisting of many subassemblies with a non-stationary (e.g. cyclic) operation modes. The method presented consists in graphic representation of vibrations of subassemblies in the form of a trace on a plane. It is created by associating instantaneous rms values of vibration acceleration and instantaneous Rice frequency values obtained as a result of short-time signal processing. On the basis of the shape, orientation of the created trajectory and / or dispersion / concentration of points on the Rf - arms plane, the type of non-stationarity of generated vibrations can be identified. The presented methodology can be used for testing machine prototypes. The results in the proposed form can be helpful to determine the type of vibration reduction systems for individual machine subassemblies. It is also possible to detect subassemblies for which an increase in machine capacity results in an increase in the level of generated vibrations. The location of the averaged values of measures obtained for a new machine on the Rf - arms plane can be a reference point for further monitoring of machine vibration and for detection of damage or malfunction of its subassemblies.
    Źródło:
    Vibrations in Physical Systems; 2020, 31, 1; art. no. 2020112
    0860-6897
    Pojawia się w:
    Vibrations in Physical Systems
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Comparison of multiband filtering, empirical mode decomposition and short-time fourier transform used to extract physiological components from long-term heart rate variability
    Autorzy:
    Adamczyk, Krzysztof
    Polak, Adam G.
    Powiązania:
    https://bibliotekanauki.pl/articles/2052173.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    heart rate variability
    nonstationary signal analysis
    multiband filtering
    empirical mode decomposition
    short-time Fourier transform
    Hilbert transform
    Opis:
    Heart rate is constantly changing under the influence of many control signals, as manifested by heart rate variability (HRV). HRV is a nonstationary, irregularly sampled signal, the spectrum of which reveals distinct bands of high, low, very low and ultra-low frequencies (HF, LF, VLF, ULF). VLF and ULF components are the least understood, and their analysis requires HRV records lasting many hours. Moreover, there are still no well-established methods for the reliable extraction of these components. The aim of this work was to select, implement and compare methods which can solve this problem. The performance of multiband filtering (MBF), empirical mode decomposition and the short-time Fourier transform was tested, using synthetic HRV as the ground truth for methods evaluation as well as real data of three patients selected from 25 polysomnographic records with a clear HF component in their spectrograms. The study provided new insights into the components of long-term HRV, including the character of its amplitude and frequency modulation obtained with the Hilbert transform. In addition, the reliability of the extracted HF, LF, VLF and ULF waveforms was demonstrated, and MBF turned out to be the most accurate method, though the signal is strongly nonstationary. The possibility of isolating such waveforms is of great importance both in physiology and pathophysiology, as well as in the automation of medical diagnostics based on HRV.
    Źródło:
    Metrology and Measurement Systems; 2021, 28, 4; 643-660
    0860-8229
    Pojawia się w:
    Metrology and Measurement Systems
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
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