Improvement of generalization performance of diagnostic system for drill bit abnormality in rotary percussion drilling with grad-CAM

Improvement of generalization performance of diagnostic system for drill bit abnormality in rotary percussion drilling with grad-CAM

Abstract Rotary percussion drills, specifically top hammer types, are essential in resource extraction and exploration. These drills frequently suffer damage at the drill bit, necessitating effective decision-making to address issues. Traditionally, on-site operators relied on intuition, but recent...

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Bibliographic Details
Main Authors: Yuna Nakazawa, Natsuo Okada, Jo Sasaki, Lesego Senjoba, Yoko Ohtomo, Youhei Kawamura
Format: Article
Language:English
Published: Springer 2025-04-01
Series:Discover Applied Sciences
Subjects:
Rotary percussion drill
Convolutional neural network
Grad-CAM
Drill bit abnormality
Frequency filter
Mining automation
Online Access:https://doi.org/10.1007/s42452-025-06796-7
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https://doi.org/10.1007/s42452-025-06796-7

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