Operational modal analysis and wavelet transformation for damage identification in wind turbine blades. (July 2016)

• Record Type: Journal Article
• Authors: Ulriksen, Martin D; Tcherniak, Dmitri; Kirkegaard, Poul H; Damkilde, Lars
• Is Part Of: Structural health monitoring. Volume 15:Number 4(2016)
• Page Start: 381
• Page End: 388
• Publication Date: 2016-07
• Subjects: Wind turbine blades -- structural health monitoring -- debonding -- wavelet transformation -- operational modal analysis; Structural health monitoring -- Periodicals; Structural stability -- Periodicals; Strength of materials -- Periodicals; Nondestructive testing -- Periodicals; Constructions -- Stabilité -- Périodiques; Résistance des matériaux -- Périodiques; Contrôle non destructif -- Périodiques; Electronic journals; 624.17
• DOI: 10.1177/1475921715586623
• Languages: English
• ISSNs: 1475-9217

Abstract

This study demonstrates an application of a previously proposed modal and wavelet analysis-based damage identification method to a wind turbine blade. A trailing edge debonding was introduced to an SSP 34-m blade mounted on a test rig. Operational modal analysis was conducted to obtain mode shapes for undamaged and damaged states of the blade. Subsequently, the mode shapes were analyzed with one-dimensional continuous wavelet transformations for damage identification. The basic idea of the method is that structural damage will introduce local mode shape irregularities which are captured in the continuous wavelet transformation by significantly magnified transform coefficients, thus providing combined damage detection, localization, and size assessment. It was found that due to the nature of the proposed method, the value of the identification results highly depends on the number of employed measurement points. Since a limited number of measurement points were utilized in the experiments, only certain damage-sensitive modes, in which pronounced damage-induced mode shape changes occur, are applicable for valid identification of the damage.