A computer vision approach to analyze and classify tool wear level in milling processes using shape descriptors and machine learning techniques

Progressive tool flank wear monitoring by applying discrete wavelet transform on turned surface images

(2016) Samik Dutta et al.   MEASUREMENT

Automated wear characterization for broaching tools based on machine vision systems

(2015) Jamie Loizou et al.   JOURNAL OF MANUFACTURING SYSTEMS

Wear signature on hole defects as a function of cutting tool material for drilling 3D interlock composite

(2015) Nicolas Cadorin et al.   WEAR

Force based tool wear monitoring system for milling process based on relevance vector machine

(2014) Guofeng Wang et al.   ADVANCES IN ENGINEERING SOFTWARE

Novel tool wear monitoring method in ultra-precision raster milling using cutting chips

(2014) Guoqing Zhang et al.   PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY

Progressive cutting tool wear detection from machined surface images using Voronoi tessellation method

(2013) A. Datta et al.   JOURNAL OF MATERIALS PROCESSING TECHNOLOGY

Use of descriptors based on moments from digital images for tool wear monitoring

(2008) J. Barreiro et al.   INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE