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

Application of genetic programming in the identification of tool wear

(2021) Hao Wang et al.   ENGINEERING COMPUTATIONS

A Bayesian inference-based approach for performance prognostics towards uncertainty quantification and its applications on the marine diesel engine

(2021) Ruihan Wang et al.   ISA TRANSACTIONS

An edge-labeling graph neural network method for tool wear condition monitoring using wear image with small samples

(2021) Gaofeng Zhi et al.   MEASUREMENT SCIENCE and TECHNOLOGY

A GAPSO-Enhanced Extreme Learning Machine Method for Tool Wear Estimation in Milling Processes Based on Vibration Signals

(2021) Zhi Lei et al.   International Journal of Precision Engineering and Manufacturing-Green Technology

A novel temporal convolutional network with residual self-attention mechanism for remaining useful life prediction of rolling bearings

(2021) Yudong Cao et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

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

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

Physics guided neural network for machining tool wear prediction

(2020) Jinjiang Wang et al.   JOURNAL OF MANUFACTURING SYSTEMS

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

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

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

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

Remaining Useful Life Prediction Using a Novel Feature-Attention-Based End-to-End Approach

(2020) Hui Liu et al.   IEEE Transactions on Industrial Informatics

Deep Learning With Spatiotemporal Attention-Based LSTM for Industrial Soft Sensor Model Development

(2020) Xiaofeng Yuan et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

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

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

Tool remaining useful life prediction method based on LSTM under variable working conditions

(2019) Jing-Tao Zhou et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Tool wear predicting based on multi-domain feature fusion by deep convolutional neural network in milling operations

(2019) Zhiwen Huang et al.   JOURNAL OF INTELLIGENT MANUFACTURING

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

(2019) Jinjiang Wang et al.   COMPUTERS IN INDUSTRY

Bayesian Deep-Learning-Based Health Prognostics Toward Prognostics Uncertainty

(2019) Weiwen Peng et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Tool Wear Estimation in End Milling of Titanium Alloy Using NPE and a Novel WOA-SVM Model

(2019) Dongdong Kong et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

A Layer-Wise Data Augmentation Strategy for Deep Learning Networks and Its Soft Sensor Application in an Industrial Hydrocracking Process

(2019) Xiaofeng Yuan et al.   IEEE Transactions on Neural Networks and Learning Systems

Remaining useful life estimation in prognostics using deep convolution neural networks

(2018) Xiang Li et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

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

(2018) Huihui Qiao et al.   SENSORS

Multisensory fusion based virtual tool wear sensing for ubiquitous manufacturing

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

Learning to Monitor Machine Health with Convolutional Bi-Directional LSTM Networks

(2017) Rui Zhao et al.   SENSORS

A weighted hidden Markov model approach for continuous-state tool wear monitoring and tool life prediction

(2016) Jinsong Yu et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Enabling Health Monitoring Approach Based on Vibration Data for Accurate Prognostics

(2015) Kamran Javed et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

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

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