Classification of Tool Wear State based on Dual Attention Mechanism Network

Segmentation and quantitative evaluation for tool wear condition via an improved SE-U-Net

(2022) Linzhi Xia et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Systematic review on tool breakage monitoring techniques in machining operations

(2022) Xuebing Li et al.   INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE

Hybrid data-driven and model-informed online tool wear detection in milling machines

(2022) Qian Yang et al.   JOURNAL OF MANUFACTURING SYSTEMS

Tool wear monitoring of high-speed broaching process with carbide tools to reduce production errors

(2022) A. del Olmo et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

MS-SSPCANet: A powerful deep learning framework for tool wear prediction

(2022) Jian Duan et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

Deep learning based online metallic surface defect detection method for wire and arc additive manufacturing

(2022) Wenhao Li et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

A Vision-based Fusion Method for Defect Detection of Milling Cutter Spiral Cutting Edge

(2021) Tongjia Zhang et al.   MEASUREMENT

Application of machine vision method in tool wear monitoring

(2021) Ruitao Peng et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Tool wear classification based on machined surface images using convolution neural networks

(2021) M Phani Kumar et al.   SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES

Tool wear monitoring of TC4 titanium alloy milling process based on multi-channel signal and time-dependent properties by using deep learning

(2021) Boling Yan et al.   JOURNAL OF MANUFACTURING SYSTEMS

Physics-informed meta learning for machining tool wear prediction

(2021) Yilin Li et al.   JOURNAL OF MANUFACTURING SYSTEMS

Intelligent tool wear monitoring and multi-step prediction based on deep learning model

(2021) Minghui Cheng et al.   JOURNAL OF MANUFACTURING SYSTEMS

Machine vision based condition monitoring and fault diagnosis of machine tools using information from machined surface texture: A review

(2021) Yuekai Liu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Delving deep into spatial pooling for squeeze-and-excitation networks

(2021) Xin Jin et al.   PATTERN RECOGNITION

Indirect tool monitoring in drilling based on gap sensor signal and multilayer perceptron feed forward neural network

(2020) Siti Nurfadilah Binti Jaini et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Tool wear classification using time series imaging and deep learning

(2019) Giovanna Martínez-Arellano et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

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

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

An investigation of cutting forces and tool wear in turning of Haynes 282

(2018) A. Suárez et al.   Journal of Manufacturing Processes

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

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

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

(2016) Samik Dutta et al.   MEASUREMENT

Tool-wear prediction and pattern-recognition using artificial neural network and DNA-based computing

(2015) Doriana M. D’Addona et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Behavior of austenitic stainless steels at high speed turning using specific force coefficients

(2012) Ana Isabel Fernández-Abia et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING 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