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An innovative decentralised data fusion using electromechanical impedance techniques
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Paper Abstract

This paper describes the electromechanical impedance (EMI) method based structural health monitoring using sensor data fusion approach. The data fusion of different attributes is more effective over a single data in achieving reasonable accuracy and precision. The paper investigates an electromechanical impedance (EMI) method applied to the structural health monitoring of sensor network of thin composite plates using distributed sensor data fusion techniques and a single sensor for different levels of delamination. The information from multiple sensors and single sensor is studied in the frequency domain and a new optimized fused criteria of variable admittance (Y) and conductance (G) is explained by damage metric root mean square deviation (RMSD). The experiments are performed on a thin composite plate with attached piezoelectric transducers at different locations and a plate with single transducer with different delamination levels.

Paper Details

Date Published: 1 April 2019
PDF: 8 pages
Proc. SPIE 10972, Health Monitoring of Structural and Biological Systems XIII, 109720B (1 April 2019); doi: 10.1117/12.2513275
Show Author Affiliations
Shishir K. Singh, The Szewalski Institute of Fluid-Flow Machinery (Poland)
Tomasz Wandowski, The Szewalski Institute of Fluid-Flow Machinery (Poland)
Paweł H. Malinowski, The Szewalski Institute of Fluid-Flow Machinery (Poland)


Published in SPIE Proceedings Vol. 10972:
Health Monitoring of Structural and Biological Systems XIII
Paul Fromme, Editor(s)

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