Intelligent tool wear prediction based on Informer encoder and stacked bidirectional gated recurrent unit

Tool wear prediction in high-speed turning of a steel alloy using long short-term memory modelling

(2021) Mohsen Marani et al.   MEASUREMENT

Tool wear estimation using a CNN-transformer model with semi-supervised learning

(2021) Hui Liu et al.   MEASUREMENT SCIENCE and TECHNOLOGY

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

A digital twin-driven hybrid approach for the prediction of performance degradation in transmission unit of CNC machine tool

(2021) Xin Yang et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

A novel time–frequency Transformer based on self–attention mechanism and its application in fault diagnosis of rolling bearings

(2021) Yifei Ding et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A hybrid information model based on long short-term memory network for tool condition monitoring

(2020) Weili Cai et al.   JOURNAL OF INTELLIGENT MANUFACTURING

A data-driven model for milling tool remaining useful life prediction with convolutional and stacked LSTM network

(2020) Qinglong An et al.   MEASUREMENT

A novel transformer-based neural network model for tool wear estimation

(2020) Hui Liu et al.   MEASUREMENT SCIENCE and TECHNOLOGY

Estimation of tool wear and optimization of cutting parameters based on novel ANFIS-PSO method toward intelligent machining

(2020) Longhua Xu et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Applications of machine learning to machine fault diagnosis: A review and roadmap

(2020) Yaguo Lei et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Tool wear mechanism and prediction in milling TC18 titanium alloy using deep learning

(2020) Junyan Ma et al.   MEASUREMENT

Multi-frequency-bands deep CNN model for tool wear prediction

(2020) Jian Duan et al.   MEASUREMENT SCIENCE and TECHNOLOGY

A joint classification-regression method for multi-stage remaining useful life prediction

(2020) Ji-Yan Wu et al.   JOURNAL OF MANUFACTURING SYSTEMS

Machine Remaining Useful Life Prediction via an Attention-Based Deep Learning Approach

(2020) Zhenghua Chen et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

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

(2020) Yingguang Li et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

Toward Intelligent Machine Tool

(2019) Jihong Chen et al.   Engineering

Deep heterogeneous GRU model for predictive analytics in smart manufacturing: Application to tool wear prediction

(2019) Jinjiang Wang et al.   COMPUTERS IN INDUSTRY

Machine Health Monitoring Using Local Feature-Based Gated Recurrent Unit Networks

(2018) Rui Zhao et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Gaussian process regression for tool wear prediction

(2018) Dongdong Kong et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A Time-Distributed Spatiotemporal Feature Learning Method for Machine Health Monitoring with Multi-Sensor Time Series

(2018) Huihui Qiao et al.   SENSORS

Deep learning and its applications to machine health monitoring

(2018) Rui Zhao et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Deep Transfer Learning Based on Sparse Autoencoder for Remaining Useful Life Prediction of Tool in Manufacturing

(2018) Chuang Sun et al.   IEEE Transactions on Industrial Informatics

A fog computing-based framework for process monitoring and prognosis in cyber-manufacturing

(2017) Dazhong Wu et al.   JOURNAL OF MANUFACTURING SYSTEMS

Multisensory fusion based virtual tool wear sensing for ubiquitous manufacturing

(2017) Jinjiang Wang et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

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

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

Vibration-based estimation of tool major flank wear in a turning process using ARMA models

(2014) B. H. Aghdam et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Online tool wear prediction in drilling operations using selective artificial neural network ensemble model

(2011) Jianbo Yu   NEURAL COMPUTING & APPLICATIONS

Adaptive network based inference system for estimation of flank wear in end-milling

(2008) Zuperl Uros et al.   JOURNAL OF MATERIALS PROCESSING TECHNOLOGY