Abstract Machine vision based condition monitoring and fault diagnosis of machine tools
(MVCMFD-MTs) is a vital technique of condition-based maintenance (CBM) in both metal …

In this work we propose a new online, low cost and fast approach based on computer vision
and machine learning to determine whether cutting tools used in edge profile milling …

Rapid tool wear is a major concern of the machining operation, affecting the tooling cost and
dimensional tolerance of the components. In line with Industry 4.0, rapid tool failure can be …

There has been much research on the automated monitoring of cutting tool wear. This
research has tended to focus on three main areas that attempt to quantify the cutting tool …

Infrastructure monitoring and rapid quality diagnosis comprise the key solutions to achieve
zero-defect smart manufacturing. The most fundamental systems in manufacturing industries …

With the advancement of digital image processing, tool condition monitoring using machine
vision is gaining importance day by day. In this work, online acquisition of machined surface …

Tool wear monitoring is an integral part of modern CNC machine control. Cutting tools must
be periodically checked for possible or actual premature failures, and it is necessary to …

We present a new micro-vision system for tool wear monitoring, which is essential for
intelligent manufacturing. The tool wear area is divided into regions by a watershed …

CNC milling is a highly complex machining process highly valued in various industries,
including the automotive and aerospace industries. With the increasing competition …

Tool condition monitoring (TCM) is an important guarantee for quality evaluation of products
and parameter optimization of machining operations. The direct methods of TCM have made …