Abstract
As the wind power industry has grown rapidly in the recent decade, maintenance costs have become a significant concern. Due to the high repair costs for wind turbine blades, it is especially important to detect initial blade defects before they become structural failures leading to other potential failures in the tower or nacelle. This research presents a method of detecting cracks on wind turbine blades using the Vibo-Acoustic Modulation technique. Using Vibro-Acoustic Modulation, a crack detection test is conducted on a WHISPER 100 wind turbine in its operating environment. Wind turbines provide the ideal conditions in which to utilize Vibro-Acoustic Modulation because wind turbines experience large structural vibrations. The structural vibration of the wind turbine balde was used as a pumping signal and a PZT was used to generate the probing signal. Because the non-linear portion of the dynamic response is more sensitive to the presence of a crack than the environmental conditions or operating loads, the Vibro-Acoustic Modulation technique can provide a robust structural health monitoring approach for wind turbines. Structural health monitoring can significantly reduce maintenance costs when paired with predictive modeling to minimize unscheduled maintenance.
| Original language | English |
|---|---|
| Title of host publication | Review of Progress in Quantitative Nondestructive Evaluation, Volume 32 |
| Editors | Dale E. Chimenti, Donald O. Thompson |
| Publisher | American Institute of Physics Inc. |
| Pages | 286-293 |
| Number of pages | 8 |
| ISBN (Electronic) | 9780735411296 |
| DOIs | |
| State | Published - 2013 |
| Externally published | Yes |
| Event | 39th Annual Review of Progress in Quantitative Nondestructive Evaluation, QNDE 2012 - Denver, United States Duration: 15 Jul 2012 → 20 Jul 2012 |
Publication series
| Name | AIP Conference Proceedings |
|---|---|
| Volume | 1511 |
| ISSN (Print) | 0094-243X |
| ISSN (Electronic) | 1551-7616 |
Conference
| Conference | 39th Annual Review of Progress in Quantitative Nondestructive Evaluation, QNDE 2012 |
|---|---|
| Country/Territory | United States |
| City | Denver |
| Period | 15/07/12 → 20/07/12 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Blades
- Crack Detection
- Nonlinear
- PZT
- Vibro-Acoustic Modulation
- Wind Turbine
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