Remaining Useful-Life Prediction of the Milling Cutting Tool Using Time–Frequency-Based Features and Deep Learning Models

Remaining Useful-Life Prediction of the Milling Cutting Tool Using Time–Frequency-Based Features and Deep Learning Models

The milling machine serves an important role in manufacturing because of its versatility in machining. The cutting tool is a critical component of machining because it is responsible for machining accuracy and surface finishing, impacting industrial productivity. Monitoring the cutting tool’s life i...

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Bibliographic Details
Main Authors: Sameer Sayyad, Satish Kumar, Arunkumar Bongale, Ketan Kotecha, Ajith Abraham
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Sensors
Subjects:
feature extraction
milling process
remaining useful life
time–frequency domain
tool wear
Online Access:https://www.mdpi.com/1424-8220/23/12/5659

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