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Analysis and Classification of Noise Sources of Conveyor Systems by Sound Visualizing on the Postal Package Sorting Line

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Języki publikacji
EN
Abstrakty
EN
Sound visualization tools are now widely used in industry. As a tool, acoustic cameras are also well- suited for faster identification of errors as well as individual states while operating devices. The aim of this paper was to locate and quantify noise sources on a packet sorting line using an acoustic camera and then to propose noise reduction measures. Localization of noise sources was performed by means of an acoustic camera with a microphone ring array. The result of these measurements and analyses was to sort the individual noise sources from less noisy to the noisiest, which gives a good assumption for better planning of spending on the implementation of noise reduction measures. The outputs of these measurements also give information on the character and frequency composition of the sound of individual sources, which will help out in the design of specific noise measures.
Twórcy
autor
  • The Technical University of Košice, Faculty of Materials, Metallurgy and Recycling, Letná 9, Košice, Slovakia
  • The Technical University of Košice, Faculty of Materials, Metallurgy and Recycling, Letná 9, Košice, Slovakia
  • The Technical University of Košice, Faculty of Materials, Metallurgy and Recycling, Letná 9, Košice, Slovakia
  • The Technical University of Košice, Faculty of Materials, Metallurgy and Recycling, Letná 9, Košice, Slovakia
Bibliografia
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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-848e7a1a-83b3-4e53-b71b-520559f525f2
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