209 / 2025-06-14 11:53:28
Enhanced Fault Localization and Imaging through Multiple Parameters Optimized Robotic Acquisition Location
multiple parameters fusion,robot movement,best acquisition location,sound field imaging
Final Paper
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 location 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 location 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.
Important Date
  • Conference Date

    Aug 01

    2025

    to

    Aug 04

    2025

  • Aug 20 2025

    Draft paper submission deadline

Sponsored By
中国机械工程学会设备智能运维分会
Organized By
新疆大学