公开(公告)号：US11514567B2

公开(公告)日：2022-11-29

申请号：US16903037

申请日：2020-06-16

Applicant: Inner Mongolia University of Technology

Inventor： Chaoyi Dong ,  Xiaoyi Zhao ,  Xiaoyan Chen

IPC: G06T7/00 ,  G01S13/933 ,  B64C39/02 ,  B64D47/08 ,  G01S13/08 ,  G06K9/62 ,  H04N5/225 ,  G06V20/10

Abstract: The present invention provides an on-line real-time diagnosis system and method for wind turbine blade (WTB) damage. The system includes a four-rotor unmanned aerial vehicle (UAV), a cloud database, and a computer system. The four-rotor UAV captures images of WTBs in real time, and transmits the images to the computer system. The cloud database stores an image library used for a Visual Geometry Group (VGG)-19 net image classification method, where an image in the image library stored in the cloud database is dynamically captured from a network. The computer system is used to perform training by using the image library to obtain an improved VGG-19 net image classification method, and classify, by using the improved VGG-19 net image classification method, the images of the WTBs received from the four-rotor UAV, to obtain a WTB damage diagnosis and classification result and a damage grading result.