Paper
1 April 2015 An acoustic-array based structural health monitoring technique for wind turbine blades
Kai Aizawa, Peyman Poozesh, Christopher Niezrecki, Javad Baqersad, Murat Inalpolat, Gunnar Heilmann
Author Affiliations +
Abstract
This paper proposes a non-contact measurement technique for health monitoring of wind turbine blades using acoustic beamforming techniques. The technique works by mounting an audio speaker inside a wind turbine blade and observing the sound radiated from the blade to identify damage within the structure. The main hypothesis for the structural damage detection is that the structural damage (cracks, edge splits, holes etc.) on the surface of a composite wind turbine blade results in changes in the sound radiation characteristics of the structure. Preliminary measurements were carried out on two separate test specimens, namely a composite box and a section of a wind turbine blade to validate the methodology. The rectangular shaped composite box and the turbine blade contained holes with different dimensions and line cracks. An acoustic microphone array with 62 microphones was used to measure the sound radiation from both structures when the speaker was located inside the box and also inside the blade segment. A phased array beamforming technique and CLEAN-based subtraction of point spread function from a reference (CLSPR) were employed to locate the different damage types on both the composite box and the wind turbine blade. The same experiment was repeated by using a commercially available 48-channel acoustic ring array to compare the test results. It was shown that both the acoustic beamforming and the CLSPR techniques can be used to identify the damage in the test structures with sufficiently high fidelity.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kai Aizawa, Peyman Poozesh, Christopher Niezrecki, Javad Baqersad, Murat Inalpolat, and Gunnar Heilmann "An acoustic-array based structural health monitoring technique for wind turbine blades", Proc. SPIE 9437, Structural Health Monitoring and Inspection of Advanced Materials, Aerospace, and Civil Infrastructure 2015, 94371P (1 April 2015); https://doi.org/10.1117/12.2084276
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CITATIONS
Cited by 9 scholarly publications.
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KEYWORDS
Wind turbine technology

Scanning probe lithography

Acoustics

Composites

Point spread functions

Spatial resolution

Signal processing

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