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