Diagnostics of the ratchet mechanism using the acoustic analysis

Bartosz Połok, Piotr Bilski
Abstract:
The paper presents the measurement system for the diagnostics of the ratchet mechanisms based on the acoustic signal analysis. Such mechanisms are common in such devices, as drive elements in bicycles, safe locks or socket wrenches. Their exploitation may lead to wearing out teeth in gears, which is significant in the sport bicycles. To ensure safety of their user, the mechanism’s state has to be evaluated. Based on the symptoms extracted from the audio recordings the Artificial Intelligence-based classifier can be used to detect and locate faults related with the pawl degradation. Experiments were performed to verify the system’s efficiency during the analysis of the selected gears in the sport (BMX-type) bicycle. They included determining the ability to operate in the noisy conditions and identifying faults by the decision tree, both in the standalone and boosted version. The system’s accuracy above 90% proves its applicability to analyze the real-world objects.
Keywords:
Acoustic analysis, diagnostics of mechanical systems, artificial intelligence
Download:
IMEKO-TC10-2020-030.pdf
DOI:
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Event details
IMEKO TC:
TC10
Event name:
TC10 Conference 2020 (ONLINE)
Title:

17th IMEKO TC10 Conference "Global trends in Testing, Diagnostics & Inspection for 2030” (2nd Conference jointly organized by IMEKO and EUROLAB aisbl)

Place:
Dubrovnik, CROATIA
Time:
20 October 2020 - 22 October 2020