Using Feature Engineering and Principal Component Analysis for Monitoring Spindle Speed Change Based on Kullback–Leibler Divergence with a Gaussian Mixture Model

Using Feature Engineering and Principal Component Analysis for Monitoring Spindle Speed Change Based on Kullback–Leibler Divergence with a Gaussian Mixture Model

Machining is a crucial constituent of the manufacturing industry, which has begun to transition from precision machinery to smart machinery. Particularly, the introduction of artificial intelligence into computer numerically controlled (CNC) machine tools will enable machine tools to self-diagnose d...

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Bibliographic Details
Main Authors: Yi-Cheng Huang, Ching-Chen Hou
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Sensors
Subjects:
machine tool
Gaussian mixture model
principal component analysis
feature engineering
Online Access:https://www.mdpi.com/1424-8220/23/13/6174

Internet

https://www.mdpi.com/1424-8220/23/13/6174

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