Paper
9 April 2010 Combined distributed and concentrated transducer network for failure indication
Author Affiliations +
Abstract
In this paper algorithm for discontinuities localisation in thin panels made of aluminium alloy is presented. Mentioned algorithm uses Lamb wave propagation methods for discontinuities localisation. Elastic waves were generated and received using piezoelectric transducers. They were arranged in concentrated arrays distributed on the specimen surface. In this way almost whole specimen could be monitored using this combined distributed-concentrated transducer network. Excited elastic waves propagate and reflect from panel boundaries and discontinuities existing in the panel. Wave reflection were registered through the piezoelectric transducers and used in signal processing algorithm. Proposed processing algorithm consists of two parts: signal filtering and extraction of obstacles location. The first part was used in order to enhance signals by removing noise from them. Second part allowed to extract features connected with wave reflections from discontinuities. Extracted features damage influence maps were a basis to create damage influence maps. Damage maps indicated intensity of elastic wave reflections which corresponds to obstacles coordinates. Described signal processing algorithms were implemented in the MATLAB environment. It should be underlined that in this work results based only on experimental signals were presented.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wieslaw Ostachowicz, Tomasz Wandowski, and Pawel Malinowski "Combined distributed and concentrated transducer network for failure indication", Proc. SPIE 7650, Health Monitoring of Structural and Biological Systems 2010, 76503A (9 April 2010); https://doi.org/10.1117/12.846911
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Transducers

Signal processing

Wave propagation

Sensors

Actuators

Reflection

Feature extraction

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