GT2021-60056 Aerodynamic Prediction on the Off-Design Performance of a S-CO2 Turbine Based on Deep Learning

von Wang, Yugi
Veröffentlicht in ASME Turbo Expo (2021 : Online) Proceedings of ASME Turbo Expo 2021: Turbomachinery Technical Conference and Exposition ; Volume 10: Supercritical CO2 (2021)

GT2021-60355 Fast Reconstruction Method of the Stress Field for the Steam Turbine Rotor Based on Deep Fully Convolutional Network

von Guo, Ding
Veröffentlicht in ASME Turbo Expo (2021 : Online) Proceedings of ASME Turbo Expo 2021: Turbomachinery Technical Conference and Exposition ; Volume 8: Oil and gas applications, steam turbine (2021)

A Light Transfer Model for Chinese Named Entity Recognition for Specialty Domain

von Wu, Jiaqi
Veröffentlicht in ChineseCSCW (15. : 2020 : Shenzhen) Computer supported cooperative work and social computing (2021)

DETC2022-89711 Review of Human-Machine Interaction Towards Industry 5.0: Human-Centric Smart Manufacturing

von Yang, Jialu
Veröffentlicht in ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (2022 : Saint Louis, Mo.) Proceedings of ASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (IDETC-CIE 2022) ; Volume 2: 42nd Computers and Information in Engineering Conference (CIE) (2022)

GT2020-14444 Water Droplet Erosion Life Prediction Method for Steam Turbine Blade Materials Based on Image Recognition and Machine Learning

von Zhang, Zheyuan
Veröffentlicht in ASME Turbo Expo (2020 : Online) Proceedings of the ASME Turbo Expo 2020: Turbomachinery Technical Conference and Exposition - 2020 ; Volume 10, B (2020)

GT2021-60049 Multi-Parameter Prediction for Steam Turbine Based on Real-Time Data Using Deep Learning Approaches Lei Sun, Tianyuan Liu, Yonghui Xie, and Xinlei Xia

von Sun, Lei
Veröffentlicht in ASME Turbo Expo (2021 : Online) Proceedings of ASME Turbo Expo 2021: Turbomachinery Technical Conference and Exposition ; Volume 8: Oil and gas applications, steam turbine (2021)

GT2021-60075 A Novel Deep Learning Model for the Flow Field Reconstruction of An Oseillating Airfoil

von Li, Yunzhu
Veröffentlicht in ASME Turbo Expo (2021 : Online) Proceedings of ASME Turbo Expo 2021: Turbomachinery Technical Conference and Exposition ; Volume 9, A: Structures and dynamics: Aerodynamics excitation and damping, bearing and seal dynamics, emerging methods in design and engineering (2021)

Visual Analytics Approach for Crane Anomaly Detection Based on Digital Twin

von Liu, Jiayu
Veröffentlicht in International Conference on Cooperative Design, Visualization, and Engineering (19. : 2022 : Online) Cooperative design, visualization, and engineering (2022)