Making costly manufacturing smart with transfer learning under limited data: A case study on composites autoclave processing

A generic hierarchical clustering approach for detecting bottlenecks in manufacturing

(2020) Mukund Subramaniyan et al.   JOURNAL OF MANUFACTURING SYSTEMS

Deep learning-based adversarial multi-classifier optimization for cross-domain machinery fault diagnostics

(2020) Xiang Li et al.   JOURNAL OF MANUFACTURING SYSTEMS

Smart manufacturing process and system automation – A critical review of the standards and envisioned scenarios

(2020) Yuqian Lu et al.   JOURNAL OF MANUFACTURING SYSTEMS

The Internet of Things for Smart Manufacturing: A Review

(2019) Hui Yang et al.   IISE Transactions

Machine learning for composite materials

(2019) Chun-Teh Chen et al.   MRS Communications

A Machine Learning Assisted Approach for Textile Formability Assessment and Design Improvement of Composite Components

(2019) Clemens Zimmerling et al.   COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING

Wide and Deep Learning for Peer-to-Peer Lending

(2019) Kaveh Bastani et al.   EXPERT SYSTEMS WITH APPLICATIONS

An intelligent fault diagnosis approach based on transfer learning from laboratory bearings to locomotive bearings

(2019) Bin Yang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Predicting the effective thermal conductivity of composites from cross sections images using deep learning methods

(2019) Qingyuan Rong et al.   COMPOSITES SCIENCE AND TECHNOLOGY

A new wind turbine health condition monitoring method based on VMD-MPE and feature-based transfer learning

(2019) He Ren et al.   MEASUREMENT

A Two-Stage Transfer Learning-Based Deep Learning Approach for Production Progress Prediction in IoT-Enabled Manufacturing

(2019) Shaohua Huang et al.   IEEE Internet of Things Journal

Neural network assisted multiscale analysis for the elastic properties prediction of 3D braided composites under uncertainty

(2018) Georgios Balokas et al.   COMPOSITE STRUCTURES

Deep learning approaches for mining structure-property linkages in high contrast composites from simulation datasets

(2018) Zijiang Yang et al.   COMPUTATIONAL MATERIALS SCIENCE

Deep learning for smart manufacturing: Methods and applications

(2018) Jinjiang Wang et al.   JOURNAL OF MANUFACTURING SYSTEMS

Data-driven smart manufacturing

(2018) Fei Tao et al.   JOURNAL OF MANUFACTURING SYSTEMS

Structural vibration-based classification and prediction of delamination in smart composite laminates using deep learning neural network

(2018) Asif Khan et al.   COMPOSITES PART B-ENGINEERING

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

Deep Convolutional Transfer Learning Network: A New Method for Intelligent Fault Diagnosis of Machines With Unlabeled Data

(2018) Liang Guo et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Smart manufacturing

(2017) Andrew Kusiak   INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

Smart manufacturing must embrace big data

(2017) Andrew Kusiak   NATURE

Deep learning

(2015) Yann LeCun et al.   NATURE

Big Data: A Survey

(2014) Min Chen et al.   MOBILE NETWORKS & APPLICATIONS

A comparative study of metamodeling methods for the design optimization of variable stiffness composites

(2013) Mahdi Arian Nik et al.   COMPOSITE STRUCTURES

Uncertainty in the manufacturing of fibrous thermosetting composites: A review

(2013) T.S. Mesogitis et al.   COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING

A Survey on Transfer Learning

(2009) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING