Abstract
Inspection of wind turbine blades is required to identify any defects or failures and decide on any remedial actions e.g. blade repair or replacement. Traditionally, inspections have been performed by rope access technicians who visually inspect the blades and record damage using standard photographic equipment.
Recent developments have seen an increase in popularity in the use of remote based inspection techniques using ground mounted cameras and cameras installed on Remotely Operated Aerial Vehicles, more commonly referred to as drones. Whilst these techniques remove the need for human access to the blades, imaging is performed remotely and does not always provide adequate image quality using standard high definition cameras. As a result, there is a growing interest in imaging techniques based on other regions of the electromagnetic spectrum. Laboratory and field based trials are required to properly examine this potential and understand which frequencies can be applied to imaging blades.
This paper demonstrates a Hyperspectral Imaging technique in its application to imaging surface defects on a section of wind turbine blade in a laboratory.
Recent developments have seen an increase in popularity in the use of remote based inspection techniques using ground mounted cameras and cameras installed on Remotely Operated Aerial Vehicles, more commonly referred to as drones. Whilst these techniques remove the need for human access to the blades, imaging is performed remotely and does not always provide adequate image quality using standard high definition cameras. As a result, there is a growing interest in imaging techniques based on other regions of the electromagnetic spectrum. Laboratory and field based trials are required to properly examine this potential and understand which frequencies can be applied to imaging blades.
This paper demonstrates a Hyperspectral Imaging technique in its application to imaging surface defects on a section of wind turbine blade in a laboratory.
Original language | English |
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Title of host publication | Proceedings of HSI 2016, 12-13th October 2016 |
Subtitle of host publication | Hyperspectral Imaging and Applications Conference |
Place of Publication | England |
Number of pages | 2 |
Publication status | Published - 12 Oct 2016 |
Event | Hyperspectral Imaging and Applications Conference - Ricoh Arena, Coventry, United Kingdom Duration: 12 Oct 2016 → 13 Oct 2016 |
Conference
Conference | Hyperspectral Imaging and Applications Conference |
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Abbreviated title | HSI 2016 |
Country/Territory | United Kingdom |
City | Coventry |
Period | 12/10/16 → 13/10/16 |
Keywords
- hyperspectral
- Image processing
- condition monitoring
- renewable energy
- leading edge erosion
- classification