4.7 Article

Quality analysis in metal additive manufacturing with deep learning

Related references

Note: Only part of the references are listed.
Article Computer Science, Artificial Intelligence

Single Image Dehazing via Multi-scale Convolutional Neural Networks with Holistic Edges

Wenqi Ren et al.

INTERNATIONAL JOURNAL OF COMPUTER VISION (2020)

Article Computer Science, Artificial Intelligence

Mixed-layer adaptive slicing for robotic Additive Manufacturing (AM) based on decomposing and regrouping

Donghua Zhao et al.

JOURNAL OF INTELLIGENT MANUFACTURING (2020)

Article Computer Science, Artificial Intelligence

A convolutional approach to quality monitoring for laser manufacturing

Carlos Gonzalez-Val et al.

JOURNAL OF INTELLIGENT MANUFACTURING (2020)

Article Computer Science, Artificial Intelligence

Multi-bead overlapping model with varying cross-section profile for robotic GMAW-based additive manufacturing

Zeqi Hu et al.

JOURNAL OF INTELLIGENT MANUFACTURING (2020)

Article Computer Science, Artificial Intelligence

A deep neural network for classification of melt-pool images in metal additive manufacturing

Ohyung Kwon et al.

JOURNAL OF INTELLIGENT MANUFACTURING (2020)

Article Computer Science, Artificial Intelligence

Intelligent rotating machinery fault diagnosis based on deep learning using data augmentation

Xiang Li et al.

JOURNAL OF INTELLIGENT MANUFACTURING (2020)

Article Automation & Control Systems

Diagnosing Rotating Machines With Weakly Supervised Data Using Deep Transfer Learning

Xiang Li et al.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2020)

Article Engineering, Multidisciplinary

Machinery fault diagnosis with imbalanced data using deep generative adversarial networks

Wei Zhang et al.

MEASUREMENT (2020)

Article Automation & Control Systems

Deep Learning-Based Machinery Fault Diagnostics With Domain Adaptation Across Sensors at Different Places

Xiang Li et al.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2020)

Article Automation & Control Systems

A Semi-Supervised Diagnostic Framework Based on the Surface Estimation of Faulty Distributions

Roozbeh Razavi-Far et al.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2019)

Article Engineering, Multidisciplinary

Surface fatigue crack identification in steel box girder of bridges by a deep fusion convolutional neural network based on consumer-grade camera images

Yang Xu et al.

STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL (2019)

Article Automation & Control Systems

Cross-Domain Fault Diagnosis of Rolling Element Bearings Using Deep Generative Neural Networks

Xiang Li et al.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2019)

Article Engineering, Industrial

Deep learning-based remaining useful life estimation of bearings using multi-scale feature extraction

Xiang Li et al.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2019)

Article Engineering, Electrical & Electronic

Multi-Layer domain adaptation method for rolling bearing fault diagnosis

Xiang Li et al.

SIGNAL PROCESSING (2019)

Article Automation & Control Systems

Deep Learning for In Situ and Real-Time Quality Monitoring in Additive Manufacturing Using Acoustic Emission

Sergey A. Shevchik et al.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2019)

Article Automation & Control Systems

Deep residual learning-based fault diagnosis method for rotating machinery

Wei Zhang et al.

ISA TRANSACTIONS (2019)

Article Engineering, Mechanical

Convolutional neural network-based inspection of metal additive manufacturing parts

Binbin Zhang et al.

RAPID PROTOTYPING JOURNAL (2019)

Article Automation & Control Systems

Long Short-Term Memory Networks for Accurate State-of-Charge Estimation of Li-ion Batteries

Ephrem Chemali et al.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2018)

Article Automation & Control Systems

Defect detection in selective laser melting technology by acoustic signals with deep belief networks

Dongsen Ye et al.

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2018)

Article Engineering, Industrial

Porosity prediction: Supervised-learning of thermal history for direct laser deposition

Mojtaba Khanzadeh et al.

JOURNAL OF MANUFACTURING SYSTEMS (2018)

Article Computer Science, Artificial Intelligence

A robust intelligent fault diagnosis method for rolling element bearings based on deep distance metric learning

Xiang Li et al.

NEUROCOMPUTING (2018)

Article Materials Science, Multidisciplinary

Extraction and evaluation of melt pool, plume and spatter information for powder-bed fusion AM process monitoring

Yingjie Zhang et al.

MATERIALS & DESIGN (2018)

Article Engineering, Manufacturing

In-Process Monitoring of Selective Laser Melting: Spatial Detection of Defects Via Image Data Analysis

Marco Grasso et al.

JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME (2017)

Article Engineering, Multidisciplinary

Deep Learning Based Approach for Bearing Fault Diagnosis

Miao He et al.

IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS (2017)

Article Engineering, Mechanical

A Systematic Semi-Supervised Self-adaptable Fault Diagnostics approach in an evolving environment

Yang Hu et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2017)

Review Green & Sustainable Science & Technology

Process Monitoring and Inspection Systems in Metal Additive Manufacturing: Status and Applications

Zhong Yang Chua et al.

INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING-GREEN TECHNOLOGY (2017)

Review Materials Science, Multidisciplinary

Review of in-situ process monitoring and in-situ metrology for metal additive manufacturing

Sarah K. Everton et al.

MATERIALS & DESIGN (2016)

Article Automation & Control Systems

WPD-PCA-Based Laser Welding Process Monitoring and Defects Diagnosis by Using FNN and SVM

Deyong You et al.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2015)

Review Engineering, Manufacturing

A Review on Process Monitoring and Control in Metal-Based Additive Manufacturing

Gustavo Tapia et al.

JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME (2014)

Article Engineering, Electrical & Electronic

Semisupervised Distance-Preserving Self-Organizing Map for Machine-Defect Detection and Classification

Weihua Li et al.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2013)