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    Wyświetlanie 1-6 z 6
    Tytuł:
    Options to use data matrix codes in production engineering
    Autorzy:
    Karrach, L.
    Pivarčiová, E.
    Powiązania:
    https://bibliotekanauki.pl/articles/409860.pdf
    Data publikacji:
    2018
    Wydawca:
    STE GROUP
    Tematy:
    adaptive thresholding
    Data Matrix
    Finder Pattern
    Timing Pattern
    Opis:
    The paper deals with the possibilities of using Data Matrix codes in production engineering. We designed and tested the computationally efficient method for locating the Data Matrix code in the images. The location search procedure consists of identification of candidate regions using image binarization, then joining adjacent points into continuous regions and also examining outer boundaries of the regions. Afterwards we verify the presence of the Finder Pattern (as two perpendicular line segments) and Timing Pattern (as alternating sequence of black and white modules) in these candidate regions. Such procedure is invariant to shift rotation and scale change of Data Matrix codes. The method we have proposed has been verified on a set of real industrial images and compared to other commercial algorithms. We are also convinced that such technique is also suitable for real-time processing and has achieved better results than comparable commercial algorithms.
    Źródło:
    Management Systems in Production Engineering; 2018, 4 (26); 231-236
    2299-0461
    Pojawia się w:
    Management Systems in Production Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Recognition of Data Matrix codes in images and their applications in production processes
    Autorzy:
    Karrach, Ladislav
    Pivarčiová, Elena
    Powiązania:
    https://bibliotekanauki.pl/articles/409791.pdf
    Data publikacji:
    2020
    Wydawca:
    STE GROUP
    Tematy:
    adaptive thresholding
    connected component labelling
    data matrix code
    finder pattern
    timing pattern
    Opis:
    Data Matrix codes can be a significant factor in increasing productivity and efficiency in production processes. An important point in deploying Data Matrix codes is their recognition and decoding. In this paper is presented a computationally efficient algorithm for locating Data Matrix codes in the images. Image areas that may contain the Data Matrix code are to be identified firstly. To identify these areas, the thresholding, connected components labelling and examining outer bounding-box of the continuous regions is used. Subsequently, to determine the boundaries of the Data Matrix code more precisely, we work with the difference of adjacent projections around the Finder Pattern. The dimensions of the Data Matrix code are determined by analyzing the local extremes around the Timing Pattern. We verified the proposed method on a testing set of synthetic and real scene images and compared it with the results of other open-source and commercial solutions. The proposed method has achieved better results than competitive commercial solutions.
    Źródło:
    Management Systems in Production Engineering; 2020, 3 (28); 154-161
    2299-0461
    Pojawia się w:
    Management Systems in Production Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Optimization of manipulation logistics using data matrix codes
    Autorzy:
    Pivarčiová, Elena
    Karrach, Ladislav
    Tučková, Zuzana
    Powiązania:
    https://bibliotekanauki.pl/articles/102648.pdf
    Data publikacji:
    2018
    Wydawca:
    Stowarzyszenie Inżynierów i Techników Mechaników Polskich
    Tematy:
    Data Matrix
    logistics
    localization
    Finder Pattern
    Timing Pattern
    logistyka
    lokalizacja
    wzór wyszukiwania
    wzorzec czasu
    Opis:
    In the paper we deal with optimization of manipulation logistics using Data Matrix codes. Our goal is scanning and decoding Data Matrix codes in real-time. We have designed and verified an efficient computer aided method for location of the Data Matrix codes. This method is also suited to real-time processing and has been verified on a test set of images taken from real industrial world. We have proposed a modified, computationally efficient local thresholding technique that uses local mean and variation under the sliding window. The proposed Data Matrix code localization algorithm utilizes the connecting of the adjoining points into the continuous regions and determining of the boundaries of the outer region and it works in two basic steps: localization of the Finder Pattern and verification of the Timing Pattern. Part of the algorithm deals also with the decoding of the Data Matrix code using external libraries. Data Matrix codes can be used to mark logistic units, parts, warehousing positions, but also for automated robot navigation. Because of their low cost, accuracy, speed, reliability, flexibility and efficiency, as well as the ability to write large amounts of data on a small area, they still have a great advantage in logistics.
    Źródło:
    Advances in Science and Technology. Research Journal; 2018, 12, 3; 173-180
    2299-8624
    Pojawia się w:
    Advances in Science and Technology. Research Journal
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Pattern classification by spiking neural networks combining self-organized and reward-related spike-timing-dependent plasticity
    Autorzy:
    Nobukawa, Sou
    Nishimura, Haruhiko
    Yamanishi, Teruya
    Powiązania:
    https://bibliotekanauki.pl/articles/91886.pdf
    Data publikacji:
    2019
    Wydawca:
    Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
    Tematy:
    spiking neural network
    spike timing-dependent plasticity
    dopamine-modulated spike timing-dependent plasticity
    pattern classification
    Opis:
    Many recent studies have applied to spike neural networks with spike-timing-dependent plasticity (STDP) to machine learning problems. The learning abilities of dopaminemodulated STDP (DA-STDP) for reward-related synaptic plasticity have also been gathering attention. Following these studies, we hypothesize that a network structure combining self-organized STDP and reward-related DA-STDP can solve the machine learning problem of pattern classification. Therefore, we studied the ability of a network in which recurrent spiking neural networks are combined with STDP for non-supervised learning, with an output layer joined by DA-STDP for supervised learning, to perform pattern classification. We confirmed that this network could perform pattern classification using the STDP effect for emphasizing features of the input spike pattern and DA-STDP supervised learning. Therefore, our proposed spiking neural network may prove to be a useful approach for machine learning problems.
    Źródło:
    Journal of Artificial Intelligence and Soft Computing Research; 2019, 9, 4; 283-291
    2083-2567
    2449-6499
    Pojawia się w:
    Journal of Artificial Intelligence and Soft Computing Research
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Monitoring of helicopter swash-plate wear using the FAM-C diagnosis method
    Autorzy:
    Gębura, Andrzej
    Kowalczyk, Henryk
    Tokarski, Tomasz
    Handzel, Kacper
    Klimaszewski, Sławomir Jerzy
    Zgrzywa, Franciszek
    Powiązania:
    https://bibliotekanauki.pl/articles/2096175.pdf
    Data publikacji:
    2022
    Wydawca:
    Polska Akademia Nauk. Polskie Towarzystwo Diagnostyki Technicznej PAN
    Tematy:
    frequency analysis
    blade tip timing
    bearing wear
    gear wear
    alternator
    frequency modulation
    power transmission
    characteristic pattern
    helicopter swash-plate
    analiza częstotliwości
    metoda wirującego obserwatora
    zużycie łożyska tocznego
    zużycie przekładni
    modulacja częstotliwości
    transmisja mocy
    śmigłowiec
    Opis:
    Helicopter rotor dynamics (blade vibrations, ground resonance, influence of forward speed, etc.) play an important role in the wear and tear of the transmission system and power unit. Particularly fast wear of these components is to be expected in military helicopters in combat conditions, where the flight dynamics parameters are often exceeded. The FAM-C method developed at the Air Force Institute of Technology in Poland has been used to assess and monitor this wear. This method can be used to monitor damage to helicopter propulsion and transmission, where other "classical" methods are less effective due to a very complicated system of forces, variable as to the direction of amplitude and frequency, causing vibrations in closely spaced kinematic pairs. For this reason, vibroacoustic and thermal effects are created around these kinematic pairs, which interfere with each other. In a helicopter, the propulsion unit, including the power transmission unit, is at the same time the carrier unit. This has forced designers to construct a propulsion system with a much greater number of joints and bearing supports. This article presents the possibilities of the FAM-C method for monitoring of swash-plate main bearing wear. The swash-plates are not formally part of the helicopter's propulsion unit but are used to direct the thrust vector of the blades i.e., they direct the helicopter's power vector. Since during this process their components are observable by the FAM-C method, the authors found it necessary to include issues related to their diagnosis in this study. In the FAM-C method, the signal from the AC generator during the normal operation of the helicopter is processed. Analysis of this signal allows simultaneous monitoring of multiple engine and transmission components simultaneously. It does not require any separate sensors for this purpose - one "full-time" alternator or tachometer generator is - with proper collection and processing of the output voltage signal - the source of a whole range of diagnostic information. Thus, one generator is an observer of the technical condition of many elements of the power unit simultaneously. What's more, the signal can be collected from any place in the electrical network, which makes it possible to install the measuring system in safe locations, even while the power train is running. Some examples of diagnostic symptoms leading to wear detection are described. Research based on analysis of these findings with the use of the FAM-C method is described in the paper. In the FAM-C method, signal from the AC generator used in routine operation of the helicopter is processed. Signal analysis enables simultaneous monitoring of several engine and transmission elements. Some examples of diagnostic symptoms used to detect wear are described in the paper.
    Źródło:
    Diagnostyka; 2022, 23, 1; 1--12
    1641-6414
    2449-5220
    Pojawia się w:
    Diagnostyka
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Monitoring the helicopter transmission using the FAM-C diagnostic method
    Monitorowanie transmisji śmigłowców z zastosowaniem metody FAM-C
    Autorzy:
    Gębura, A.
    Stefaniuk, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/329074.pdf
    Data publikacji:
    2017
    Wydawca:
    Polska Akademia Nauk. Polskie Towarzystwo Diagnostyki Technicznej PAN
    Tematy:
    helicopter gearbox
    frequency analysis
    blade tip timing
    bearing wear
    gear wear
    system HUMS
    health and usage system
    alternator
    frequency modulation
    power transmission
    characteristic pattern
    przekładnia
    śmigłowiec
    analiza częstotliwościowa
    metoda wirującego obserwatora
    zużycie łożyska tocznego
    zużycie przekładni
    prądnica prądu przemiennego
    modulacja częstotliwości
    transmisja mocy
    zbiór charakterystyczny
    Opis:
    Dynamics of the helicopter rotor (blade vibrations, ground resonance, influence of forward speed etc.) plays a significant role in wear of transmission and engine systems. Particularly severe wear of these elements can be expected on military helicopters operating in battlefield conditions, where exceedances of dynamic flight parameters and harsh maneuvers occur more frequently. The “FAM-C” diagnostic method, developed by the Air Force Institute of Technology in Poland, has been used for assessing and monitoring a fatigue wear. Particularly, this method may be applied to monitor defects of power plant and helicopter transmission system, where other “classical” methods are less efficient due to the very complex variable system as for the direction and frequency, system of forces generating vibrations in kinematic pairs situated close to each other. Due to this reasons certain vibroacoustic and thermal effects develop around these pairs and they interfere with each other. In a helicopter, a power plant, including a power transmission system is also a carrying assembly. It forced designers to construct a power plant with increased number of joints and bearing supports. This article depicts possibilities of FAM-C method regarding wear of the main bearing of helicopter rotor, wear of surface of teeth contact, clearances between axles of gear wheels in gear and the evaluation of circumferential clearances on splined connections. In the FAM-C method, signal from the AC generator used in routine operation of the helicopter is processed. Signal analysis enables simultaneous monitoring of several engine and transmission elements at the same time. It doesn’t require any separate sensors – one permanent electric generator or tachometer generator is - by the appropriate way of picking up and converting the output voltage signal - a source of the whole gamut of diagnostic information.
    Dynamika wirnika śmigłowca (drgania łopat, rezonans przyziemny, wpływ prędkości postępowej itp.) odgrywają istotną rolę w zużywaniu systemu transmisji i zespołu napędowego. Szczególnie szybkie zużycie tych elementów należy oczekiwać śmigłowcach wojskowych w warunkach bojowych, w których to często występują przekroczenia parametrów dynamiki lotu. Metoda FAM-C opracowana w Instytucie Technicznym Wojsk Lotniczych w Polsce została użyta do oceny i monitorowania tego zużycia. W szczególności metoda ta może być używana do monitorowania uszkodzeń zespołu napędowego i transmisji śmigłowca, gdzie inne „klasyczne” metody są mniej skuteczne z uwag na bardzo skomplikowany układ zmiennych co do kierunku amplitudy i częstotliwości układ sił wywołujący wibracje w blisko siebie położonych parach kinematycznych. Z tego powodu tworzą się wokół tych par kinematycznych efekty wibroakustyczne i termiczne , które się wzajemnie zakłócają. W śmigłowcu zespół napędowy w tym zespół transmisji mocy jest jednocześnie zespołem nośnym. Wymusiło to na konstruktorach konstruowanie układu napędowego ze znacznie większa liczbą przegubów i podpór łożyskowych. W tym artykule przedstawiono możliwości metody FAM-C dotyczącej zużycia głównego łożyska wirnika nośnego, zużycia płaszczyzny styku zębów, luzów pomiędzy osiami kół zębatych w przekładni oraz oceny luzów obwodowych na połączeniach wielowypustowych. W metodzie FAM-C przetwarzany jest sygnał z generatora prądu przemiennego w czasie normalnej eksploatacji śmigłowca. Analiza tego sygnału umożliwia jednoczesne monitorowanie wielu elementów silnika i przekładni jednocześnie.
    Źródło:
    Diagnostyka; 2017, 18, 2; 75-85
    1641-6414
    2449-5220
    Pojawia się w:
    Diagnostyka
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-6 z 6

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