Results 71 to 80 of about 7,265 (167)

A Dilated Residual Network for Turbine Blade ICT Image Artifact Removal. [PDF]

Sensors (Basel), 2023
Han R, Zeng F, Li J, Yao Z, Guo W, Zhao J.   +5 more
europepmc   +1 more source

A comparative multi-objective investigation for metallic and non-metallic materials on the erosion resistance of wind turbine blade with performance evaluation. [PDF]

Sci Rep
Abou Taleb ASA, Abdelgaliel IH, Aly MF.
europepmc   +1 more source

Computational Analysis of a Wind Turbine Blade for Different Advanced Materials. [PDF]

Materials (Basel)
Fragkos PF, Theotokoglou EE.
europepmc   +1 more source

Al-based functionally graded super-intermetallic compounds for the turbine blade of a high-performance jet engine. [PDF]

Adv Compos Hybrid Mater
Jeong W, Yang J, Choi JP, Hwang JY, Kim YW, Park SJ, Choi JW, Heogh W, Lee H, Park J, Jung MK, Lee JE, Ryu HJ, Jang TS, Jung HD, Jahazi M, Pasco J, Lee MG, Park H, Moon SK, Advincula RC, Kim SH, Aranas C.   +22 more
europepmc   +1 more source

Enhancing wind turbine blade damage detection with YOLO-Wind. [PDF]

Sci Rep
Zhanfang Z, Tuo L.
europepmc   +1 more source

Turbine-to-Textile: Upcycling Wind Turbine Blade Waste into High-Performance PAN Composite Fibers. [PDF]

ACS Appl Polym Mater
Thippanna V, Sun X, Sobczak MT, Ramanathan A, Theobald TG, Doran I, Were J, Yang L, Jaraczewski J, Casey J, Klepov VV, Liang L, Nolet S, Mada Kannan AN, Xu X, Song K.   +15 more
europepmc   +1 more source

Wind Turbine Blade Defect Recognition Method Based on Large-Vision-Model Transfer Learning. [PDF]

Sensors (Basel)
Li X, Tian J, Pang X, Shen L, Li H, Zheng Z.   +5 more
europepmc   +1 more source

A novel edge crop method and enhanced YOLOv5 for efficient wind turbine blade damage detection. [PDF]

Sci Rep
Feng B, Liu B, Song L, Chen Y, Jiao X, Wang B.   +5 more
europepmc   +1 more source

Optimization of Hierarchical Groove-Perforation Structures in PET Foam Cores for Wind Turbine Blade Applications. [PDF]

Materials (Basel)
Li J, Lin G, Chen X.
europepmc   +1 more source

Wind turbine blade damage detection based on acoustic signals. [PDF]

Sci Rep
Yang C, Ding S, Zhou G.
europepmc   +1 more source