An automatic and accurate method for tool wear inspection using grayscale image probability algorithm based on bayesian inference

Big data analytics for smart factories of the future

(2020) Robert X. Gao et al.   CIRP ANNALS-MANUFACTURING TECHNOLOGY

In-process tool condition forecasting based on a deep learning method

(2020) Huibin Sun et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

A novel method for accurately monitoring and predicting tool wear under varying cutting conditions based on meta-learning

(2019) Yingguang Li et al.   CIRP ANNALS-MANUFACTURING TECHNOLOGY

Heterogeneous data-driven hybrid machine learning for tool condition prognosis

(2019) Peng Wang et al.   CIRP ANNALS-MANUFACTURING TECHNOLOGY

From Intelligence Science to Intelligent Manufacturing

(2019) Lihui Wang   Engineering

In-process machine vision monitoring of tool wear for Cyber-Physical Production Systems

(2019) Romulo Gonçalves Lins et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

Toward a new tribological approach to predict cutting tool wear

(2018) J. Rech et al.   CIRP ANNALS-MANUFACTURING TECHNOLOGY

Combining shape and contour features to improve tool wear monitoring in milling processes

(2018) María Teresa García-Ordás et al.   INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

Predicting tool life in turning operations using neural networks and image processing

(2018) T. Mikołajczyk et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A machine vision system for micro-milling tool condition monitoring

(2018) Yiquan Dai et al.   PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY

Statistical calibration and uncertainty quantification of complex machining computer models

(2018) Patxi Fernandez-Zelaia et al.   INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE

Mechanism for material removal in ultrasonic vibration helical milling of Ti 6Al 4V alloy

(2018) Guang Chen et al.   INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE

Machine-vision-based identification of broken inserts in edge profile milling heads

(2017) Laura Fernández-Robles et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

Tool condition monitoring in interrupted cutting with acceleration sensors

(2017) Juho Ratava et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

Cutting tool wear classification and detection using multi-sensor signals and Mahalanobis-Taguchi System

(2017) M. Rizal et al.   WEAR

An in-depth study of tool wear monitoring technique based on image segmentation and texture analysis

(2016) Lihong Li et al.   MEASUREMENT

An FEM-based approach for tool wear estimation in machining

(2016) Amir Malakizadi et al.   WEAR

Real-time tool wear monitoring in milling using a cutting condition independent method

(2015) Mehdi Nouri et al.   INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE

Automated wear characterization for broaching tools based on machine vision systems

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

3D cutting tool-wear monitoring in the process

(2015) Luka Čerče et al.   Journal of Mechanical Science and Technology

A New Approach to Spatial Tool Wear Analysis and Monitoring

(2015) Luka Čerče et al.   STROJNISKI VESTNIK-JOURNAL OF MECHANICAL ENGINEERING

On-line tool wear measurement for ball-end milling cutter based on machine vision

(2013) Chen Zhang et al.   COMPUTERS IN INDUSTRY

A cutter tool monitoring in machining process using Hilbert–Huang transform

(2010) Tomas Kalvoda et al.   INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE