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  • 标题:Conveyor Failure Diagnostics Using Sound Visualization Technique
  • 本地全文:下载
  • 作者:Marek Moravec ; Marek Moravec ; Miroslav Badida
  • 期刊名称:Advances in Science and Technology Research Journal
  • 印刷版ISSN:2080-4075
  • 电子版ISSN:2299-8624
  • 出版年度:2018
  • 卷号:12
  • 期号:4
  • 页码:144-150
  • DOI:10.12913/22998624/100352
  • 语种:English
  • 出版社:Society of Polish Mechanical Engineers and Technicians
  • 摘要: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. Conveyor require regular inspection and maintenance. In some operations, conveyor systems are difficult to access for maintenance purposes. Conveyor systems in their operation contribute to increasing noise levels. The increased noise emitted by the conveyor may signal the failure of a certain part of the conveyor system. Such failures can be identified by a sound visualization device and contribute to effective maintenance of conveyor systems. The paper analyzes specific conveyor systems and identified potential failures of these conveyor systems by sound visualization methods.
  • 关键词:sound visualization methods;maintenance;failure analysis;conveyor systems
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