Motor Bearing Fault Source Localization based on Sound and Robot Movement Characteristics
ID:104 Submission ID:223 View Protection:ATTENDEE Updated Time:2024-10-23 10:27:15 Hits:105 Oral Presentation

Start Time:2024-11-01 17:20 (Asia/Shanghai)

Duration:20min

Session:[P2] Parallel Session 2 » [P2-1] Parallel Session 2(November 1 PM)

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Abstract
Manual inspection is often inefficient and easily misses detections for the extensive amount of mechanical equipment in industrial production. Incorporating acoustic measurement and diagnostics into mobile robots has multiple advantages. Utilizing the movement characteristics of the robot to search for the location with the best signal quality at different points can help it better adapt to the complex acoustic environment of industrial sites. The focus is on the use of non-synchronous measurement technology, the robot can provide precise sequential movement, which can extend the lower frequency detection limit of the array. It is proved by simulation and experiments that the fault sound source of motor bearing can be accurately located based on robot moving characteristics. This method provides a valuable reference for non-contact monitoring of rotating machinery such as motors.
Keywords
Motor bearing, non-synchronous measurement, different position, fault sound source
Speaker
LvDong
NA Hebei University of Technology

Submission Author
LvDong Hebei University of Technology
FengGuojin Hebei University of Technology
ZhenDong Hebei University of Technology
LiangXiaoxia Hebei University of Technology
SunGuohua Institute of Acoustics, Chinese Academy of Sciences
GuFengshou University of Huddersfield
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Important Dates

15th August 2024   31st August 2024- Manuscript Submission

15th September 2024 - Acceptance Notification

1st October 2024 - Camera Ready Submission

1st October 2024  – Early Bird Registration

 

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