title: Wind turbine blade shear web disbond detection using rotor blade operational sensing and data analysis.
abstract: A wind turbine blade's structural dynamic response is simulated and analysed with the goal of characterizing the presence and severity of a shear web disbond. Computer models of a 5 MW offshore utility-scale wind turbine were created to develop effective algorithms for detecting such damage. Through data analysis and with the use of blade measurements, a shear web disbond was quantified according to its length. An aerodynamic sensitivity study was conducted to ensure robustness of the detection algorithms. In all analyses, the blade's flap-wise acceleration and root-pitching moment were the clearest indicators of the presence and severity of a shear web disbond. A combination of blade and non-blade measurements was formulated into a final algorithm for the detection and quantification of the disbond. The probability of detection was 100% for the optimized wind speed ranges in laminar, 30% horizontal shear and 60% horizontal shear conditions.
authors.affiliation: Laboratory for Systems Integrity and Reliability, Vanderbilt University, 566 Mainstream Drive, Nashville, TN 37228, USA.
authors.forename: Noah
authors.initials: N
authors.lastname: Myrent
authors.affiliation: Laboratory for Systems Integrity and Reliability, Vanderbilt University, 566 Mainstream Drive, Nashville, TN 37228, USA douglas.adams@vanderbilt.edu.
authors.forename: Douglas E
authors.initials: DE
authors.lastname: Adams
authors.affiliation: Wind and Water Power Technologies, Sandia National Laboratories, 1515 Eubank SE, Albuquerque, NM 87123, USA.
authors.forename: D Todd
authors.initials: DT
authors.lastname: Griffith
keywords: blade damage; condition monitoring; disbond; sensitivity analysis; shear web; wind energy