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Enhanced Fault Localization and Imaging through Multiple Parameters Optimized Robotic Acquisition Location

Dong Lv, Dong Zhen, Guojin Feng, Xiaoxia Liang, Guohua Sun, Fengshou Gu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publication2025 International Conference on Equipment Intelligent Operation and Maintenance (ICEIOM)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1158-1164
Number of pages7
Edition1st
ISBN (Electronic)9798331512347
ISBN (Print)9798331512354
DOIs
Publication statusPublished - 19 Nov 2025
Event2025 International Conference on Intelligent Operation and Maintenance of Equipment - Ürümqi, China
Duration: 1 Aug 20253 Aug 2025
https://iceiom2025.aconf.org/index.html

Conference

Conference2025 International Conference on Intelligent Operation and Maintenance of Equipment
Abbreviated titleICEIOM 2025
Country/TerritoryChina
CityÜrümqi
Period1/08/253/08/25
Internet address

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