209 / 2025-06-14 11:53:28
Enhanced Fault Localization and Imaging through Multiple Parameters Optimized Robotic Acquisition Point
multiple parameters fusion,robot movement,best acquisition point,sound field imagin
全文待审
Dong Lv / Hebei University of Technology
Dong Zhen / Hebei University of Technology
Guojin Feng / Hebei University of Technology
Xiaoxia Liang / Tianjin Vocational Institute
Guohua Sun / Institute of Acoustics, Chinese Academy of Sciences
Fengshou Gu / University of Huddersfield
The combination of acoustics measurement and robotics technology has opened a new door in the field of fault monitoring. The use of robots can flexibly accommodate changing sound field environments in industries. The necessity of finding the best acquisition point was demonstrated through analysis of sound field radiation and comparison of multiple locations signals. Multiple parameters were fused to assist robot motion to further determine the best distance, height, and angle. The localization accuracy and resolution at the best position found are superior to those at other locations, which are within 1% and 8% respectively. The addition of the sound field imaging function could visual interpretation of the spatial location of the fault source. This research has extensive application scenarios and demands in modern factories.
重要日期
  • 会议日期

    08月01日

    2025

    08月04日

    2025

  • 06月23日 2025

    初稿截稿日期

主办单位
中国机械工程学会设备智能运维分会
承办单位
新疆大学
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