Loading...
Please wait, while we are loading the content...
Similar Documents
Identification of ice mass accumulated on wind turbine blades using its natural frequencies
| Content Provider | SAGE Publishing |
|---|---|
| Author | Gantasala, Sudhakar Luneno, Jean-Claude Aidanpää, Jan-Olov |
| Copyright Year | 2017 |
| Abstract | This work demonstrates a technique to identify information about the ice mass accumulation on wind turbine blades using its natural frequencies, and these frequencies reduce differently depending on the spatial distribution of ice mass along the blade length. An explicit relation to the natural frequencies of a 1-kW wind turbine blade is defined in terms of the location and quantity of ice mass using experimental modal analyses. An artificial neural network model is trained with a data set (natural frequencies and ice masses) generated using that explicit relation. After training, this artificial neural network model is given an input of natural frequencies of the iced blade (identified from experimental modal analysis) corresponding to 18 test cases, and it identified ice masses’ location and quantity with a weighted average percentage error value of 17.53%. The proposed technique is also demonstrated on the NREL 5-MW wind turbine blade data. |
| Related Links | https://journals.sagepub.com/doi/pdf/10.1177/0309524X17723207?download=true |
| Starting Page | 66 |
| Ending Page | 84 |
| Page Count | 19 |
| ISSN | 0309524X |
| Issue Number | 1 |
| Volume Number | 42 |
| Journal | Wind Engineering (WIE) |
| e-ISSN | 2048402X |
| DOI | 10.1177/0309524X17723207 |
| Language | English |
| Publisher | Sage Publications UK |
| Publisher Date | 2017-08-21 |
| Publisher Place | London |
| Access Restriction | Open |
| Rights Holder | © The Author(s) 2017 |
| Subject Keyword | natural frequency ice detection experimental modal analysis Wind turbine blade artificial neural network |
| Content Type | Text |
| Resource Type | Article |
| Subject | Renewable Energy, Sustainability and the Environment Energy Engineering and Power Technology |
