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Extraction of blade AE signature for in-service condition monitoring. D. J. Lekou , F. Mouzakis ( CRES ) N . Tsopelas, D. Papasalouros, A. Anastasopoulos ( Mistras Group ). Current SHM for blades. Damage Cracks, erosion, debonding , lightning, stains, etc. Rotor imbalance.
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Extraction of blade AE signature for in-service condition monitoring D. J. Lekou, F. Mouzakis (CRES) N. Tsopelas, D. Papasalouros, A. Anastasopoulos (Mistras Group) EWEA 2013, Vienna, Austria, 4-7 February 2013
Current SHM for blades • Damage • Cracks, erosion, debonding, lightning, stains, etc. • Rotor imbalance • Inspection procedure • Visual inspection (outside, inside) • Damage identification • Damage location • Off-line, periodic • Vibration • Damage identification • On-line, periodic
Acoustic Emission method • Detection of transient elastic waves • High frequency (>20kHz) • Due to rapid release of energy • During crack opening/propagation • Localized Source
Acoustic Emission & blades • Successfully used in laboratory tests • Static & Fatigue • On-line measurements • Under load • Identification of damage • Location of damage Overall linear location of AE sources
Demonstration on CRES NM750kW • Global WT measurements • WT operational • Power, rotor speed, etc. • Wind inflow • Acoustic Emission • Micro-II PAC • 8 channels • 3 PAC-R6I-AST (60kHz) • 5 PAC-R15I-AST (150kHz)
Max Strain Position 0.75 m 0.75 m CH3 CH1 0.5 m Min Strain Position CH4 CH2 1.0 m CH5 1.22 m CH6 WIRELESS ROUTER STRAIN GAUGE CH7 CH8 PAC SAMOS MICRO II VIRTUAL DESKTOP ON REMOTE LOCATION TERMINALS General layout
Indicative results AE Amplitude Wind Speed WT Power Time
Conclusions & Future Work Healthy operation, retrofitting Known damage, retrofitting Healthy operation, Embedded Capture damage, Embedded Application Indicative future steps • AE for on-line monitoring applied • Footprint of healthy blade captured • Further applications necessary to capture progressing failure • Tuning with classic inspections
Thank you for your attention Questions? • Acknowledgement For this research funding has been received from the EC FP7 under GA no 239462 (NIMO)