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Tytuł artykułu

Conveyor Failure Diagnostics using Sound Visualization Technique

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Sound visualization methods and techniques are currently applied in various fields to identify and locate individual sources of noise. Conveyor systems are used in various industrial plants. Conveyors require regular inspection and maintenance. In some operations, conveyor systems are difficult to access for the maintenance purposes. During their operation, conveyor systems contribute to increasing the noise levels. The increased noise emitted by a conveyor may signal the failure of a certain part of the system. Such failures can be identified by a sound visualization device and contribute to an effective maintenance of conveyor systems. The paper analyzes specific conveyor systems and identified potential failures of these conveyor systems by using sound visualization methods.
Twórcy
autor
  • Technical University of Kosice, Department of Process and Environmental Engineering, Letna 9, 042 00 Kosice, Slovak Republic
  • Technical University of Kosice, Department of Process and Environmental Engineering, Letna 9, 042 00 Kosice, Slovak Republic
  • Technical University of Kosice, Department of Process and Environmental Engineering, Letna 9, 042 00 Kosice, Slovak Republic
  • Technical University of Kosice, Department of Process and Environmental Engineering, Letna 9, 042 00 Kosice, Slovak Republic
Bibliografia
  • 1. Debski H., Teter A., Kubiak T., Samborski S. Local buckling, post-buckling and collapse of thin-walled channel section composite columns subjected to quasi-static compression. Compos Struct., 136, 2016, 593–601.
  • 2. Fedorko G., Liptai P., Molnár V. Proposal of the methodology for noise sources identification and analysis of continuous transport systems using an acoustic camera. Eng Fail Anal., 83, 2018, p. 30-46.
  • 3. Sabadka D.; Molnar V.; Fedorko G. et al. Optimization Of Production Processes Using The Yamazumi Method. Adv Sci Technol Res J, 11 (4) 2017, 175-182; DOI: 10.12913/22998624/80921.
  • 4. Hunady R., Hagara M. A new procedure of modal parameter estimation for high-speed digital image correlation. Mech Syst Signal Process., 93, 2017, pp. 66–79.
  • 5. Molnár V., Fedorko G., Andrejiová M., Grinčová A., Michalik P. Online moniroring of a pipe conveyor. Part I: Measurement and analysis of selected operational parameters, Meas. J. Int. Meas. Confed. 94, (2016), 364-371.
  • 6. Moravec M., Liptai P. Innovative methods and equipment for noise visualization. 2017. In: ICEEE 2017. – Košice. elfa s.r.o., 2017 pp. 130-133.
  • 7. Moravec M., Liptai P. Methods and progressive equipment for sound visualization of noise sources. In: Scientific Letters of Academic Society of Michal Baludansky. 2017. pp. 131-134.
  • 8. Moravec M., Liptai P., Badida M., Dzuro T. Dynamic noise visualization methods for identification of noise sources. SGEM 2014. 14th international multidiscilinary scientific geoconference - GeoConference on Ecology, Economics, Education and Legislation conference proceedings. Volume 1. 17-26, June, 2014, Albena, Bulgaria. - Sofia: STEF92 Technology, 2014 pp. 207-212. - ISBN 978-619-7105-17-9 - ISSN 1314-2704.
  • 9. Pavlík M., Kruželák L., Mikita M., Špes M., Bucko S., Lisoň L., Kosterec M., Beňa L., Liptai, P. The impact of electromagnetic radiation on the degradation of magnetic ferrofluids. Arch Electr Eng., 66(2), 2017. pp. 361-369.
  • 10. G. Lodowijks, J. Ottjes. Inteligent belt conveyor monitoring a control. Theory and application. Int. Mater. Handl. Conf. BeltCon, Randburg, South Africa, 2007, pp-1-9.
  • 11. Shasha Wang, Weina GuoWu, WenRuihan, ChenTing, LiFang Fang. Research on Belt Conveyor Monitoring and Control System. International Conference on Information Computing and Applications.ICICA 2010: Information Computing and Applications pp. 334-339.
  • 12. Qing Lu, Xiaohui Wang, Liyun Zhuang. Research and Design of Monitoring System for Belt Conveyor. In: 2012 International Conference on Computer Science and Service System. IEEE,2012. pp. 1943-1945.
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-ba6092de-2106-4215-aacb-17e160148eea
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