A Deep Lifelong Learning Method for Digital-Twin Driven Defect Recognition With Novel Classes

Machine learning-based image processing for on-line defect recognition in additive manufacturing

(2019) Alessandra Caggiano et al.   CIRP ANNALS-MANUFACTURING TECHNOLOGY

Digital Twin in Industry: State-of-the-Art

(2019) Fei Tao et al.   IEEE Transactions on Industrial Informatics

Segmentation-based deep-learning approach for surface-defect detection

(2019) Domen Tabernik et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Continual lifelong learning with neural networks: A review

(2019) German I. Parisi et al.   NEURAL NETWORKS

Online defect recognition of narrow overlap weld based on two-stage recognition model combining continuous wavelet transform and convolutional neural network

(2019) Rui Miao et al.   COMPUTERS IN INDUSTRY

A coarse-grained regularization method of convolutional kernel for molten pool defect identification

(2019) TianYuan Liu et al.   JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING

A semi-supervised convolutional neural network-based method for steel surface defect recognition

(2019) Yiping Gao et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

A Multilevel Information Fusion-Based Deep Learning Method for Vision-Based Defect Recognition

(2019) Yiping Gao et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Digital twin-driven rapid reconfiguration of the automated manufacturing system via an open architecture model

(2019) Jiewu Leng et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

Development of an Optimized Neural Network for the Detection of Pipe Defects Using a Microwave Signal

(2018) Wissam M. Alobaidi et al.   JOURNAL OF PRESSURE VESSEL TECHNOLOGY-TRANSACTIONS OF THE ASME

Digital Twin and Big Data Towards Smart Manufacturing and Industry 4.0: 360 Degree Comparison

(2018) Qinglin Qi et al.   IEEE Access

A Machine Learning Approach to Kinematic Synthesis of Defect-Free Planar Four-Bar Linkages

(2018) Shrinath Deshpande et al.   JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING

Automatic fabric defect detection with a wide-and-compact network

(2018) Yuyuan Li et al.   NEUROCOMPUTING

Defect detection of hot rolled steels with a new object detection framework called classification priority network

(2018) Di He et al.   COMPUTERS & INDUSTRIAL ENGINEERING

Loda: Lightweight on-line detector of anomalies

(2015) Tomáš Pevný   MACHINE LEARNING

A noise robust method based on completed local binary patterns for hot-rolled steel strip surface defects

(2013) Kechen Song et al.   APPLIED SURFACE SCIENCE

Automated fabric defect detection—A review

(2011) Henry Y.T. Ngan et al.   IMAGE AND VISION COMPUTING

Incremental support vector machine learning in the primal and applications

(2009) Zhizheng Liang et al.   NEUROCOMPUTING