Blar i NTNU Open på forfatter "yin, shen"
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Industrial applications of digital twins
Jiang, Yuchen; yin, shen; Li, Kuan; Luo, Hao; Kaynak, Okyay (Peer reviewed; Journal article, 2021)A digital twin (DT) is classically defined as the virtual replica of a real-world product, system, being, communities, even cities that are continuously updated with data from its physical counterpart, as well as its ... -
Integrated Learning Approach Based on Fused Segmentation Information for Skeletal Fluorosis Diagnosis and Severity Grading
Liu, Shaochong; Li, Xiang; Jiang, Yuchen; Luo, Hao; Gao, Yanhui; yin, shen (Peer reviewed; Journal article, 2021)Skeletal fluorosis is a form of endemic disease caused by the excessive intake of fluoride. Bone deformation and periosteal calcification are the typical manifestations that can be observed in the images and are usually ... -
Performance Supervised Plant-Wide Process Monitoring in Industry 4.0: A Roadmap
Jiang, Yuchen; yin, shen; Kaynak, Okyay (Peer reviewed; Journal article, 2021)The intensive research and development efforts directed towards large-scale complex industrial systems in the context of Industry 4.0 indicate that safety and reliability issues pose significant challenges. During online ... -
Remaining useful life prediction for ion etching machine cooling system using deep recurrent neural network-based approaches
Wu, Shimeng; Jiang, Yuchen; Luo, Hao; yin, shen (Peer reviewed; Journal article, 2021)The cooling system called flowcool is an important part of the ion mill etching (IME) machine. In the case of the cooling system failure during operation, it will lead to significant impacts on the final quality of wafers. ... -
Sparse Actuator and Sensor Attacks Reconstruction for Linear Cyber-physical Systems with Sliding Mode Observer
Yang, Hongyan; yin, shen; Han, Honhgui; Sun, Haoyuan (Peer reviewed; Journal article, 2021)Driven by the rapid development of modern industrial processes, cyber-physical systems (CPSs), which tightly conjoin computational and physical resources, have become ever-more prevalent during recent years. However, due ...