# Wind Turbine Surface Damage Detection by Deep Learning Aided Drone Inspection Analysis

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/wind-turbine-surface-damage-detection-by-deep-learning-aided-drone-inspection/

## Facts

| Field | Value |
| --- | --- |
| Author Names | ASM Shihavuddin,Xiao Chen,Vladimir Fedorov,Anders Nymark Christensen,Nicolai A. B. Riis,Kim Branner,Anders Bjorholm Dahl,Rasmus R. Paulsen |
| Citations | 217 |
| DOI | 10.3390/en12040676 |
| Fields | Engineering |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/1996-1073/12/4/676/pdf?version=1550642622 |
| OpenAlex ID | https://openalex.org/W2917896152 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Anders Bjorholm Dahl](https://scholariq.org/researchers/anders-bjorholm-dahl/)

## Paper primary topic

- [Infrastructure Maintenance and Monitoring](https://scholariq.org/topics/infrastructure-maintenance-and-monitoring/)

## Paper topics

- [Infrastructure Maintenance and Monitoring](https://scholariq.org/topics/infrastructure-maintenance-and-monitoring/)
- [Non-Destructive Testing Techniques](https://scholariq.org/topics/non-destructive-testing-techniques/)
- [Industrial Vision Systems and Defect Detection](https://scholariq.org/topics/industrial-vision-systems-and-defect-detection/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.