Abstract : This paper presents the SHM result of a 9m CX-100 wind turbine blade under full-scale fatigue loads. The test was performed at the National Renewable Energy Laboratory. The 9-meter blade was instrumented with piezoelectric transducers, accelerometers, acoustic emission sensors, and foil strain gauges on the surface of the blade. The blade underwent fatigue excitation at 1.8 Hz for defined intervals, and data from the sensors were collected between and during fatigue loading sessions. The data were measured at multi-scale, high frequency ranges for identifying fatigue damage initiation, and low-frequency ranges for assessing damage progression. High and Low frequency response functions, time series based methods, and Lamb wave date measured by piezoelectric transducers were utilized to analyze the condition of the turbine blade, along with other sensing systems (acoustic emission). A specially designed hardware developed by Los Alamos National Laboratory was also implemented for performance comparison. This paper summarizes considerations needed to design such SHM systems, experimental procedures and results, and additional issues that can be used as guidelines for future investigations.
[1]
Charles R. Farrar,et al.
High-frequency response functions for composite plate monitoring with ultrasonic validation
,
2005
.
[2]
Carlos E. S. Cesnik,et al.
Review of guided-wave structural health monitoring
,
2007
.
[3]
Charles R. Farrar,et al.
Performance assessment and validation of piezoelectric active-sensors in structural health monitoring
,
2006
.
[4]
Charles R. Farrar,et al.
Use of Time-Series Predictive Models for Piezoelectric Active-Sensing in Structural Health Monitoring Applications
,
2012
.
[5]
Sandia Report,et al.
Design of 9-Meter Carbon-Fiberglass Prototype Blades: CX-100 and TX-100
,
2007
.
[6]
Gyuhae Park,et al.
Piezoelectric Active-Sensor Diagnostics and Validation Using Instantaneous Baseline Data
,
2009,
IEEE Sensors Journal.