Physics-informed meta learning for machining tool wear prediction

Physics-guided logistic classification for tool life modeling and process parameter optimization in machining

(2021) Jaydeep Karandikar et al.   JOURNAL OF MANUFACTURING SYSTEMS

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

(2021) Mohsen Marani et al.   MEASUREMENT

Metric-based meta-learning model for few-shot fault diagnosis under multiple limited data conditions

(2021) Duo Wang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Data Construction Method for the Applications of Workshop Digital Twin System

(2020) Tianxiang Kong et al.   JOURNAL OF MANUFACTURING SYSTEMS

A personalized diagnosis method to detect faults in gears using numerical simulation and extreme learning machine

(2020) Xiaoyang Liu et al.   KNOWLEDGE-BASED SYSTEMS

Physics-informed neural networks for missing physics estimation in cumulative damage models: a case study in corrosion fatigue

(2020) Arinan Dourado et al.   JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING

Physics-informed neural networks for inverse problems in nano-optics and metamaterials

(2020) Yuyao Chen et al.   OPTICS EXPRESS

Digital twin for cutting tool: Modeling, application and service strategy

(2020) Yang Xie et al.   JOURNAL OF MANUFACTURING SYSTEMS

Physics guided neural network for machining tool wear prediction

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

An accurate prediction method of multiple deterioration forms of tool based on multitask learning with low rank tensor constraint

(2020) Changqing Liu et al.   JOURNAL OF MANUFACTURING SYSTEMS

A Comprehensive Survey on Transfer Learning

(2020) Fuzhen Zhuang et al.   PROCEEDINGS OF THE IEEE

CEEMD-assisted bearing degradation assessment using tight clustering

(2019) Yanfei Lu et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Tool wear classification using time series imaging and deep learning

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

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

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

A generic tool wear model and its application to force modeling and wear monitoring in high speed milling

(2018) Kunpeng Zhu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data

(2017) Anuj Karpatne et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

A Comparative Study on Machine Learning Algorithms for Smart Manufacturing: Tool Wear Prediction Using Random Forests

(2017) Dazhong Wu et al.   JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME

The WEAR methodology for prognostics and health management implementation in manufacturing

(2017) Stephen Adams et al.   JOURNAL OF MANUFACTURING SYSTEMS

Study of spindle power data with neural network for predicting real-time tool wear/breakage during inconel drilling

(2017) Raphael Corne et al.   JOURNAL OF MANUFACTURING SYSTEMS

An advanced numerical approach on tool wear simulation for tool and process design in metal cutting

(2017) M. Binder et al.   SIMULATION MODELLING PRACTICE AND THEORY

Adaptive resampling-based particle filtering for tool life prediction

(2015) Peng Wang et al.   JOURNAL OF MANUFACTURING SYSTEMS

Enhanced particle filter for tool wear prediction

(2015) Jinjiang Wang et al.   JOURNAL OF MANUFACTURING SYSTEMS

Automated wear characterization for broaching tools based on machine vision systems

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

New observations on tool wear mechanism in dry machining Inconel718

(2011) Zhaopeng Hao et al.   INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE