Study on tool wear state recognition algorithm based on spindle vibration signals collected by homemade tool condition monitoring ring

A novel approach of tool condition monitoring in sustainable machining of Ni alloy with transfer learning models

(2023) Nimel Sworna Ross et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Tool wear identification and prediction method based on stack sparse self-coding network

(2023) Yiyuan Qin et al.   JOURNAL OF MANUFACTURING SYSTEMS

An approach for tool wear prediction using customized DenseNet and GRU integrated model based on multi-sensor feature fusion

(2022) Xianli Liu et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Multisensor-based tool wear diagnosis using 1D-CNN and DGCCA

(2022) Yong Yin et al.   APPLIED INTELLIGENCE

Cost-Effective Classification of Tool Wear with Transfer Learning Based on Tool Vibration for Hard Turning Processes

(2022) Amirabbas Bahador   MEASUREMENT

An unsupervised dual-regression domain adversarial adaption network for tool wear prediction in multi-working conditions

(2022) Yumeng Zhu et al.   MEASUREMENT

Cutting tool wear monitoring based on a smart toolholder with embedded force and vibration sensors and an improved residual network

(2022) Pengfei Zhang et al.   MEASUREMENT

A novel smart toolholder with embedded force sensors for milling operations

(2022) Pengfei Zhang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Tool wear predicting based on weighted multi-kernel relevance vector machine and probabilistic kernel principal component analysis

(2022) Guohao Song et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

A two-step machining and active learning approach for right-first-time robotic countersinking through in-process error compensation and prediction of depth of cuts

(2022) Mateo Leco et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

Tool wear state recognition based on feature selection method with whitening variational mode decomposition

(2022) Xudong Wei et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

A novel current sensor indicator enabled WAFTR model for tool wear prediction under variable operating conditions

(2022) Pradeep Kundu et al.   Journal of Manufacturing Processes

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

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

Online monitoring of diamond grinding wheel wear based on linear discriminant analysis

(2021) Guo Bi et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

A machine vision method for measurement of machining tool wear

(2021) Jianbo Yu et al.   MEASUREMENT

A data-driven approach for tool wear recognition and quantitative prediction based on radar map feature fusion

(2021) Xuebing Li et al.   MEASUREMENT

Multi-Cluster Feature Selection Based on Isometric Mapping

(2021) Yadi Wang et al.   IEEE-CAA Journal of Automatica Sinica

Tool wear state recognition based on gradient boosting decision tree and hybrid classification RBM

(2020) Guofa Li et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Predicting tool wear size across multi-cutting conditions using advanced machine learning techniques

(2020) Yan Shen et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Predicting residual properties of ball screw raceway in whirling milling based on machine learning

(2020) Chao Liu et al.   MEASUREMENT

A novel industrial process monitoring method based on improved local tangent space alignment algorithm

(2020) Jie Dong et al.   NEUROCOMPUTING

Operational reliability evaluation and prediction of rolling bearing based on isometric mapping and NoCuSa-LSSVM

(2020) Shuzhi Gao et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Energy Efficiency Modeling for Configuration-Dependent Machining via Machine Learning: A Comparative Study

(2020) Qinge Xiao et al.   IEEE Transactions on Automation Science and Engineering

A Review on Dimensionality Reduction Techniques

(2019) Xuan Huang et al.   INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE

Combining translation-invariant wavelet frames and convolutional neural network for intelligent tool wear state identification

(2019) Xin-Cheng Cao et al.   COMPUTERS IN INDUSTRY

Research on the Milling Tool Wear and Life Prediction by Establishing an Integrated Predictive Model

(2019) Yinfei Yang et al.   MEASUREMENT

Relevance vector machine for tool wear prediction

(2019) Dongdong Kong et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Monitoring of a machining process using kernel principal component analysis and kernel density estimation

(2019) Wo Jae Lee et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Data-driven smart manufacturing: Tool wear monitoring with audio signals and machine learning

(2019) Zhixiong Li et al.   Journal of Manufacturing Processes

On the Equivalence of HLLE and LTSA

(2018) Sumin Zhang et al.   IEEE Transactions on Cybernetics

Development and testing of an integrated smart tool holder for four-component cutting force measurement

(2017) Zhengyou Xie et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A novel multi-objective evolutionary algorithm based on LLE manifold learning

(2016) Qiong Yuan et al.   ENGINEERING WITH COMPUTERS

Milling tool wear state recognition based on partitioning around medoids (PAM) clustering

(2016) Zhimeng Li 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