Fault diagnosis of a CNC hobbing cutter through machine learning using three axis vibration data

Fault diagnosis of a CNC hobbing cutter through machine learning using three axis vibration data

This research presents a novel approach to fault diagnosis for CNC hobbing cutters using machine learning techniques, leveraging three-axis vibration data to ensure machining precision and tool reliability. Traditional methods of tool monitoring are insufficient for real-time and complex machining e...

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Bibliographic Details
Main Authors: Nagesh Tambake, Bhagyesh Deshmukh, Sujit Pardeshi, Sachin Salunkhe, Robert Cep, Emad Abouel Nasr
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Heliyon
Subjects:
CNC hobbing cutter
Machine learning
Fault diagnosis
Vibration data
Feature engineering
Ensemble Model
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844025000167
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