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Tomographic ultrasonic sensors in industrial applications

Wybrane pełne teksty z tego czasopisma
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Warianty tytułu
PL
Tomograficzne czujniki ultradźwiękowe w zastosowaniach przemysłowych
Języki publikacji
EN
Abstrakty
EN
The work presents the results of research on the use of tomographic ultrasonic sensors to analyse industrial processes using dedicated measuring devices, image reconstruction algorithms and cyber-physical system.
PL
W pracy przedstawiono wyniki badań nad wykorzystaniem tomograficznych czujników ultradźwiękowych do analizy procesów przemysłowych z zastosowaniem dedykowanych urządzeń pomiarowych, algorytmów rekonstrukcji obrazu oraz systemu cyber-fizycznego.
Rocznik
Strony
166--169
Opis fizyczny
Bibliogr. 30 poz., rys.
Twórcy
  • Research and Development Centre, Netrix S.A.
  • Lublin University of Technology
autor
  • University of Economics and Innovation
  • Institute of Philosophy and Sociology of the Polish Academy of Sciences
  • Institute of Philosophy and Sociology of the Polish Academy of Sciences
Bibliografia
  • [1] Repta D., Sacala I. S., Moisescu M. A., Stanescu A. M., Towards the development of a Cyber-Intelligent Enterprise System Architecture, IFAC Proceedings Volumes (IFACPapersOnline), (2014) 827-832
  • [2] Monostori L., Cyber-physical production systems: Roots, expectations and R&D challenges, Variety Management in Manufacturing. Proceedings of the 47th CIRP Conference on Manufacturing Systems, Procedia CIRP 17, (2014), 9-13
  • [3] Qian F., Xu G., Zhang L., Dong H., Design of Hybrid NC Control System for Automatic Line, International Journal of Hybrid Information Technology, 8/4 (2015), 185-192
  • [4] Bergwei ler S., Intelligent Manufacturing based on Self- Monitoring Cyber-Physical Systems, UBICOMM 2015 The Ninth International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies, 9, (2015), 108-113
  • [5] Wang S., Wan J., Li D., Zhang C., Implementing Smart Factory of Industrie 4.0: An Outlook, Int. J. Distrib. Sens. Networks, 2016, (2016), 1-10
  • [6] Zhong R. Y., Xu X., Klotz E., Newman S. T., Intelligent Manufacturing in the Context of Industry 4.0: A Review, Engineering, 3, (2017) no. 5, 616-630
  • [7] Beck M. S., Wi l l iams R. A., “Process tomography: A European innovation and its applications,” Meas. Sci. Technol., 7, (1996) no. 3, 215-224
  • [8] Rymarczyk T., Characterization of the shape of unknown objects by inverse numerical methods, Przegląd Elektrotechniczny, 88 (2012), No. 7b, 138-140
  • [9] Rymarczyk T., Kłosowski G., Tchórzewski P., Cieplak T., Kozłowski E.: Area monitoring using the ERT method with multisensor electrodes, Przegląd Elektrotechniczny, 95 (2019), No. 1, 153-156
  • [10] Rymarczyk T., Nita P., Vejar A., Woś M., Stefaniak B., Adamkiewicz P.: Wearable mobile measuring device based on electrical tomography, Przegląd Elektrotechniczny, 95 (219), No. 4, 211-214
  • [11] Kłosowski G., Rymarczyk T., Kania K., Świć A., Cieplak T., Maintenance of industrial reactors based on deep learning driven ultrasound tomography, Eksploatacja i Niezawodnosc – Maintenance and Reliability; 22 (2020), No 1, 138–147
  • [12] Kłosowski G., Rymarczyk T., Wójcik D., Skowron S., Adamkiewicz P., The Use of Time-Frequency Moments as Inputs of LSTM Network for ECG Signal Classification, Electronics, 9 (2020), No. 9, 1452
  • [13] Kłosowski G., Rymarczyk T., Cieplak T., Niderla K., Skowron Ł., Quality Assessment of the Neural Algorithms on the Example of EIT-UST Hybrid Tomography, Sensors, 20 (2020), No. 11, 3324
  • [14] Koulountzios P., Rymarczyk T., Soleimani M., A quantitative ultrasonic travel-time tomography system for investigation of liquid compounds elaborations in industrial processes, Sensors, 19 (2019), No. 23, 5117
  • [15] Szczesny, A.; Korzeniewska, E. Selection of the method for the earthing resistance measurement. Przegląd Elektrotechniczny, 94 (2018), 178–181
  • [16] Korzeniewska, E., Sekulska-Nalewajko, J., Gocawski, J., Droż Dż, T., Kiebasa, P., Analysis of changes in fruit tissue after the pulsed electric field treatment using optical coherence tomography, EPJ Applied Physics, 91 (2020), No.3, 30902
  • [17] Sekulska-Nalewajko, J., Gocławski, J., Korzeniewska, E., A method for the assessment of textile pilling tendency using optical coherence tomography, Sensors (Switzerland), 20 (2020), No.13, 1-19, 3687
  • [18] Pawłowski, S., Plewako, J., Korzeniewska, E., Field modeling the impact of cracks on the electroconductivity of thin-film textronic structures, Electronics (Switzerland), 9 (2020), No.3, 402
  • [19] Kosinski, T.; Obaid, M.; Wozniak, P.W.; Fjeld, M.; Kucharski, J. A fuzzy data-based model for Human-Robot Proxemics. In Proceedings of the 2016 25th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), New York, NY, USA, 26–31 August 2016; 335–340
  • [20] Fraczyk, A.; Kucharski, J. Surface temperature control of a rotating cylinder heated by moving inductors. Appl. Therm. Eng., 125 (2017), 767–779
  • [21] Majchrowicz M., Kapusta P., Jackowska-Strumiłło L., Sankowski D., Acceleration of image reconstruction process in the electrical capacitance tomography 3d in heterogeneous, multi-gpu system, Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska (IAPGOŚ), 7( 2017), No. 1, 37-41
  • [22] Goetzke-Pala A., Hoła A., Sadowski Ł., A non-destructive method of the evaluation of the moisture in saline brick walls using artificial neural networks. Archives of Civil and Mechanical Engineering, 18 (2018), No. 4, 1729-1742
  • [23] Kozłowski E., Mazurkiewicz D., Żabiński T., Prucnal S., Sęp J., Assessment model of cutting tool condition for real-time supervision system, Eksploatacja i Niezawodnosc – Maintenance and Reliability, 21 (2019), No. 4, 679–685
  • [24] Kozłowski E., Mazurkiewicz D., Żabiński T., Prucnal S., Sęp J., Machining sensor data management for operation-level predictive model. Expert Systems with Applications 159 (2020), 1-22
  • [25] Zhang A., Srivastav H., Barros A., Mazurkiewicz D., Liu Y. - Performance analysis of redundant safety-instrumented systems considering the imprecision of information in proof tests. Proceedings of the 30th European Safety and Reliability Conference and the 15th Probabilistic Safety Assessment and Management Conference Edited by Piero Baraldi, Francesco Di Maio and Enrico Zio. Published by Research Publishing, Singapore
  • [26] Kozłowski E., Kowalska B., Kowalski D., Mazurkiewicz D., Survival Function in the Analysis of the Factors Influencing the Reliability of Water Wells Operation. Water Resources Management 33 (2019), No. 14, 4909-4921
  • [27] Daniewski K., Kosicka E., Mazurkiewicz D., Analysis of the correctness of determination of the effectiveness of maintenance service actions. Management and Production Engineering Review 9 (2018); No. 2, 20-25.
  • [28] Kozłowski E., Mazurkiewcz D., Kowalska B., Kowalski D. – Application of multidimensional scaling method to identify the factors influencing on reliability of deep wells. In: Burduk A., Chlebus E., Nowakowski T., Tubis A. (eds) Intelligent Systems in Production Engineering and Maintenance. ISPEM 2018. Advances in Intelligent Systems and Computing, 835 (2018), 56-65
  • [29] Charpentier P. , Véjar A., From Spatio-Temporal Data to Manufacturing System Model, J Control Autom Electr Syst, 25 (2014), No.5, 557–565
  • [30] Véjar A., Charpentier P., Generation of an adaptive simulation driven by product trajectories, J Intell Manuf, 23 (2012), No. 6, 2667–2679
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-da02ce09-515c-41c4-8c4f-e186f8b37993
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