Damage Identification of Wind Turbine Blades Using Piezoelectric Transducers

This paper presents the experimental results of active-sensing structural health monitoring (SHM) techniques, which utilize piezoelectric transducers as sensors and actuators, for determining the structural integrity of wind turbine blades. Specifically, Lamb wave propagations and frequency response functions at high frequency ranges are used to estimate the condition of wind turbine blades. For experiments, a 1 m section of a CX-100 blade is used. The goal of this study is to assess and compare the performance of each method in identifying incipient damage with a consideration given to field deployability. Overall, these methods yielded a sufficient damage detection capability to warrant further investigation. This paper also summarizes the SHM results of a full-scale fatigue test of a 9 m CX-100 blade using piezoelectric active sensors. This paper outlines considerations needed to design such SHM systems, experimental procedures and results, and additional issues that can be used as guidelines for future investigations.

[1]  Jeong-Beom Ihn,et al.  Detection and monitoring of hidden fatigue crack growth using a built-in piezoelectric sensor/actuator network: II. Validation using riveted joints and repair patches , 2004 .

[2]  A. S. Naser,et al.  Structural Health Monitoring Using Transmittance Functions , 1999 .

[3]  Dale M. Pitt,et al.  Recent advances in active damage interrogation , 2001 .

[4]  Constantinos Soutis,et al.  Delamination detection in composite laminates from variations of their modal characteristics , 1999 .

[5]  Charles R. Farrar,et al.  Piezoelectric Active Sensor Self-Diagnostics Using Electrical Admittance Measurements , 2006 .

[6]  Sandia Report,et al.  Design of 9-Meter Carbon-Fiberglass Prototype Blades: CX-100 and TX-100 , 2007 .

[7]  Carlos E. S. Cesnik,et al.  Review of guided-wave structural health monitoring , 2007 .

[8]  Victor Giurgiutiu,et al.  Piezoelectric Wafer Embedded Active Sensors for Aging Aircraft Structural Health Monitoring , 2002 .

[9]  Constantinos Soutis,et al.  Damage detection in composite materials using lamb wave methods , 2002 .

[10]  F. Chang,et al.  Detection and monitoring of hidden fatigue crack growth using a built-in piezoelectric sensor/actuator network: I. Diagnostics , 2004 .

[11]  Hoon Sohn,et al.  Overview of Piezoelectric Impedance-Based Health Monitoring and Path Forward , 2003 .

[12]  W. Marsden I and J , 2012 .

[13]  Yaoyu Li,et al.  A review of recent advances in wind turbine condition monitoring and fault diagnosis , 2009, 2009 IEEE Power Electronics and Machines in Wind Applications.

[14]  Emmanuel Moulin,et al.  Radome health monitoring with Lamb waves: experimental approach , 2000 .

[15]  M. Lemistre,et al.  Structural health monitoring system based on diffracted Lamb wave analysis by multiresolution processing , 2001 .

[16]  Jaroslaw Sobieszczanski-Sobieski,et al.  Structures, Structural Dynamics, and Materials Conference and Exhibit , 2001 .

[17]  Charles R. Farrar,et al.  High-frequency response functions for composite plate monitoring with ultrasonic validation , 2005 .

[18]  Charles R. Farrar,et al.  Performance assessment and validation of piezoelectric active-sensors in structural health monitoring , 2006 .

[19]  Jung-Ryul Lee,et al.  Structural health monitoring for a wind turbine system: a review of damage detection methods , 2008 .