Predictive health monitoring of wind turbines based on dynamic characterization
The project involves development of a predictive structural health monitoring methodology and prototype for early detection and prediction of damages of wind turbine's critical structural elements as blades. Providing such a tool for cost effective maintenance of turbine will aid in strengthening Denmark's position as leaders in Wind Energy technology
The need for an effective and efficient predictive structural health monitoring system for wind turbines, focused on critical structural elements such as blades, tower etc., is paramount in current scenario. This need emerges due to variety of issues including the growing size of wind turbines and their installation at offshore and remote locations, which makes the maintenance and repair work difficult and costly. Main objective of this project is to develop a smart predictive health monitoring solution which will complete the detection of structural failures with effective follow up procedure thus helping wind turbine owner/operator making cost-effective decisions on wind turbine maintenance. The focus of the project is the predictive monitoring of blades as they are the most expensive structural parts of a wind turbine. The major activities in this project are: Firstly, Operational Modal Analysis, a proven technique for dynamic characterization of large structures, is evaluated for its suitability for operational wind turbines. Secondly, sensitivity of modal parameters is assessed to potential structural damages in a wind turbine through numerical simulations. Thirdly, a decision making algorithm with identification, localization and prognostics capabilities is developed using a damage progression model. Finally, a prototype is developed and installed.
Key figures
Category
Dokumenter
Participants
Partner | Subsidy | Auto financing |
---|---|---|
BRüEL & KJÆR SOUND & VIBRATION MEASUREMENT A/S | 1,45 mio. DKK | 1,68 mio. DKK |
Danmarks Tekniske Universitet (DTU) | 2,22 mio. DKK | 1,21 mio. DKK |
Bladena ApS | 1,07 mio. DKK | 1,16 mio. DKK |
Danmarks Tekniske Universitet (DTU) | 1,41 mio. DKK | 0,37 mio. DKK |
VATTENFALL A/S | 0,04 mio. DKK | 0,05 mio. DKK |
TOTAL WIND BLADES ApS | 0,24 mio. DKK | 0,25 mio. DKK |
Contact
Skodsborgvej 307
DK-2850 Nærum
www.bksv.com
Blaabjerg, Claus , 77412000, claus.blaabjerg@bksv.com
Øvr. Partnere: Vestas Wind Systems A/S; Danmarks Tekniske Universitet. Risø Nationallaboratoriet for Bæredygtig Energi (Risø DTU). Afdelingen for Vindenergi; Danmarks Tekniske Universitet. Institut for Informatik og Matematisk Modellering (IMM) (DTU Informatik)