Structural Health Monitoring of Wind Turbine Blades Using Statistical Pattern Recognition

2015 ◽  
Author(s):  
DIEGO TIBADUIZA-BURGOS ◽  
MIGUEL TORRES-ARREDONDO ◽  
MARIBEL ANAYA
Keyword(s):  
Pattern Recognition ◽  
Structural Health Monitoring ◽  
Wind Turbine ◽  
Health Monitoring ◽  
Turbine Blades ◽  
Statistical Pattern Recognition ◽  
Wind Turbine Blades ◽  
Structural Health ◽  
Statistical Pattern

Structural Health Monitoring of Research-Scale Wind Turbine Blades

2013 ◽  
Vol 558 ◽  
pp. 364-373 ◽  
Author(s):  
Stuart G. Taylor ◽  
Kevin M. Farinholt ◽  
Gyu Hae Park ◽  
Charles R. Farrar ◽  
Michael D. Todd ◽  
...  
Keyword(s):  
Structural Health Monitoring ◽  
Embedded Systems ◽  
Wind Turbine ◽  
Health Monitoring ◽  
Turbine Blades ◽  
Field Tests ◽  
Ultrasonic Waves ◽  
Wind Turbine Blades ◽  
Structural Health ◽  
Sensing System

This paper presents ongoing work by the authors to implement real-time structural health monitoring (SHM) systems for operational research-scale wind turbine blades. The authors have been investigating and assessing the performance of several techniques for SHM of wind turbine blades using piezoelectric active sensors. Following a series of laboratory vibration and fatigue tests, these techniques are being implemented using embedded systems developed by the authors. These embedded systems are being deployed on operating wind turbine platforms, including a 20-meter rotor diameter turbine, located in Bushland, TX, and a 4.5-meter rotor diameter turbine, located in Los Alamos, NM. The SHM approach includes measurements over multiple frequency ranges, in which diffuse ultrasonic waves are excited and recorded using an active sensing system, and the blades global ambient vibration response is recorded using a passive sensing system. These dual measurement types provide a means of correlating the effect of potential damage to changes in the global structural behavior of the blade. In order to provide a backdrop for the sensors and systems currently installed in the field, recent damage detection results for laboratory-based wind turbine blade experiments are reviewed. Our recent and ongoing experimental platforms for field tests are described, and experimental results from these field tests are presented. LA-UR-12-24691.

Radar-based structural health monitoring of wind turbine blades: The case of damage detection

2017 ◽  
Vol 17 (4) ◽  
pp. 815-822 ◽  
Author(s):  
Jochen Moll ◽  
Philip Arnold ◽  
Moritz Mälzer ◽  
Viktor Krozer ◽  
Dimitry Pozdniakov ◽  
...  
Keyword(s):  
Structural Health Monitoring ◽  
Damage Detection ◽  
Wind Turbine ◽  
Health Monitoring ◽  
Turbine Blades ◽  
Heterogeneous Material ◽  
Material System ◽  
Wind Turbine Blades ◽  
Millimetre Wave ◽  
Structural Health

Structural health monitoring of wind turbine blades is challenging due to its large dimensions, as well as the complex and heterogeneous material system. In this article, we will introduce a radically new structural health monitoring approach that uses permanently installed radar sensors in the microwave and millimetre-wave frequency range for remote and in-service inspection of wind turbine blades. The radar sensor is placed at the tower of the wind turbine and irradiates the electromagnetic waves in the direction of the rotating blades. Experimental results for damage detection of complex structures will be presented in a laboratory environment for the case of a 10-mm-thick glass-fibre-reinforced plastic plate, as well as a real blade-tip sample.

scholarly journals Structural health monitoring for delamination detection and location in wind turbine blades employing guided waves

Wind Energy ◽  
2019 ◽  
Vol 22 (5) ◽  
pp. 698-711 ◽  
Author(s):  
Carlos Quiterio Gómez Muñoz ◽  
Fausto Pedro García Marquez ◽  
Borja Hernandez Crespo ◽  
Kena Makaya
Keyword(s):  
Structural Health Monitoring ◽  
Wind Turbine ◽  
Health Monitoring ◽  
Guided Waves ◽  
Turbine Blades ◽  
Wind Turbine Blades ◽  
Structural Health ◽  
Delamination Detection

Structural health monitoring techniques for wind turbine blades

2000 ◽  
Vol 85 (3) ◽  
pp. 309-324 ◽  
Author(s):  
Anindya Ghoshal ◽  
Mannur J. Sundaresan ◽  
Mark J. Schulz ◽  
P. Frank Pai
Keyword(s):  
Structural Health Monitoring ◽  
Wind Turbine ◽  
Health Monitoring ◽  
Turbine Blades ◽  
Wind Turbine Blades ◽  
Monitoring Techniques ◽  
Structural Health

Radar-based structural health monitoring of wind turbine blades: The case of damage localization

Wind Energy ◽  
2018 ◽  
Vol 21 (8) ◽  
pp. 676-680 ◽  
Author(s):  
Philip Arnold ◽  
Jochen Moll ◽  
Moritz Mälzer ◽  
Viktor Krozer ◽  
Dimitry Pozdniakov ◽  
...  
Keyword(s):  
Structural Health Monitoring ◽  
Wind Turbine ◽  
Health Monitoring ◽  
Turbine Blades ◽  
Damage Localization ◽  
Wind Turbine Blades ◽  
Structural Health

On Structural Health Monitoring of Wind Turbine Blades

2013 ◽  
Vol 569-570 ◽  
pp. 628-635 ◽  
Author(s):  
Jonas Falk Skov ◽  
Martin Dalgaard Ulriksen ◽  
Kristoffer Ahrens Dickow ◽  
Poul Henning Kirkegaard ◽  
Lars Damkilde
Keyword(s):  
Structural Health Monitoring ◽  
Wind Turbine ◽  
Health Monitoring ◽  
Damage Identification ◽  
State Of The Art ◽  
Turbine Blades ◽  
Wind Turbine Blades ◽  
Noise And Vibration ◽  
Structural Health ◽  
Temperature Noise

The aim of the present paper is to provide a state-of-the-art outline of structural health monitoring (SHM) techniques, utilizing temperature, noise and vibration, for wind turbine blades, and subsequently perform a typology on the basis of the typical 4 damage identification levels in SHM. Before presenting the state-of-the-art outline, descriptions of structural damages typically occurring in wind turbine blades are provided along with a brief description of the 4 damage identification levels.

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