Tool condition monitoring using K-star algorithm

作者:

Highlights:

• Descriptive statistical features from vibration signals are used as features.

• Feature selection using K-star algorithm.

• Confusion matrix is discussed for clear understanding of results.

摘要

•Descriptive statistical features from vibration signals are used as features.•Feature selection using K-star algorithm.•Confusion matrix is discussed for clear understanding of results.

论文关键词:Machine learning,K-star,Tool condition monitoring,Tool wear,Vibration signals

论文评审过程:Available online 12 November 2013.

论文官网地址:https://doi.org/10.1016/j.eswa.2013.11.005