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Extraction of blade AE signature for in-service condition monitoring

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

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  1. 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

  2. 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

  3. Acoustic Emission method • Detection of transient elastic waves • High frequency (>20kHz) • Due to rapid release of energy • During crack opening/propagation • Localized Source

  4. 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

  5. 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)

  6. 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

  7. Indicative results AE Amplitude Wind Speed WT Power Time

  8. Footprint of healthy operation

  9. 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

  10. Thank you for your attention Questions? • Acknowledgement For this research funding has been received from the EC FP7 under GA no 239462 (NIMO)

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