基于8K超高清风机叶片智能巡检系统的风机叶片表面缺陷检测数据

基于8K超高清风机叶片智能巡检系统的风机叶片表面缺陷检测数据集提供了运行中的风力发电机叶片表面存在的缺陷信息，包括掉漆、划痕、雷击、裂痕、破损、侵蚀、损坏、脱胶、脏污等缺陷类型，这些信息直观反映了运行中的风力发电机叶片表面的情况，为风电场运维人员及时判断、处理风机叶片问题提供了有力支持。This wind turbine blade surface defect detection dataset is developed based on the 8K ultra-high-definition intelligent inspection system for wind turbine blades, and provides defect information on the surfaces of in-service wind turbine blades. The covered defect types include paint peeling, scratches, lightning strikes, cracks, breakage, erosion, damage, adhesive failure, and dirt contamination. Such information intuitively reflects the surface conditions of operating wind turbine blades, offering robust support for wind farm operation and maintenance personnel to timely identify and address issues related to wind turbine blades.

搜集汇总

背景与挑战

背景概述

该数据集基于8K超高清智能巡检系统，提供风机叶片表面缺陷检测数据，包括掉漆、划痕、雷击等多种缺陷类型，用于支持风电场运维的实时监测和自动告警。数据通过YOLO算法识别生成，格式为xlsx，数据量60并实时更新，旨在提高风力发电机组安全运行的监测精度和响应速度。