Data‐Driven Fault Diagnosis of Drilling Tools: Methods and Applications

Data‐Driven Fault Diagnosis of Drilling Tools: Methods and Applications

ABSTRACT Effective monitoring of drilling tool condition is crucial in mechanical metal cutting to prevent tool failure, maintain machining accuracy, and ensure superior surface finish quality. Tool breakage or wear can cause catastrophic machine downtime, reduce dimensional accuracy, and deteriorat...

Full description

Saved in:
Bibliographic Details
Main Authors: Chandan M. N, Himadri Majumder, Sharad Mulik, Nikhil Rangaswamy, Mukesh Kumar, Sowmyashree H. Srinivasaiah
Format: Article
Language:English
Published: Wiley 2025-07-01
Series:Engineering Reports
Subjects:
best first tree algorithm
data acquisition system
drilling bit
fault diagnosis
machine learning
piezoelectric accelerometer
Online Access:https://doi.org/10.1002/eng2.70279
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items