Crack detection on wind turbine blades in an operating environment using vibro-Acoustic modulation technique

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

10 Scopus citations

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 languageEnglish
Title of host publicationReview of Progress in Quantitative Nondestructive Evaluation, Volume 32
EditorsDale E. Chimenti, Donald O. Thompson
PublisherAmerican Institute of Physics Inc.
Pages286-293
Number of pages8
ISBN (Electronic)9780735411296
DOIs
StatePublished - 2013
Externally publishedYes
Event39th Annual Review of Progress in Quantitative Nondestructive Evaluation, QNDE 2012 - Denver, United States
Duration: 15 Jul 201220 Jul 2012

Publication series

NameAIP Conference Proceedings
Volume1511
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

Conference39th Annual Review of Progress in Quantitative Nondestructive Evaluation, QNDE 2012
Country/TerritoryUnited States
CityDenver
Period15/07/1220/07/12

Keywords

  • Blades
  • Crack Detection
  • Nonlinear
  • PZT
  • Vibro-Acoustic Modulation
  • Wind Turbine

Fingerprint

Dive into the research topics of 'Crack detection on wind turbine blades in an operating environment using vibro-Acoustic modulation technique'. Together they form a unique fingerprint.

Cite this