Development of an integrated software solution for piezoelectric active-sensing in structural health monitoring

Laura D. Jacobs; Gyuhae Park; Charles R. Farrar

doi:10.1117/12.715829

10 April 2007 Development of an integrated software solution for piezoelectric active-sensing in structural health monitoring

Laura D. Jacobs, Gyuhae Park, Charles R. Farrar

Author Affiliations +

Proceedings Volume 6530, Sensor Systems and Networks: Phenomena, Technology, and Applications for NDE and Health Monitoring 2007; 65301C (2007) https://doi.org/10.1117/12.715829
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2007, San Diego, California, United States

Abstract

In this study, a novel approach of integrating data interrogation algorithms of active sensing methods for structural health monitoring (SHM) applications, including Lamb wave propagation, impedance method, and sensor-diagnostics, is presented. Contrary to most active-sensing SHM techniques, which utilize only a single signal processing method for damage identification, a suite of signal processing algorithms are employed and grouped into one package to improve the damage detection capability. A MatLab-based user interface called H.O.P.S. (Health Of Plate Structures) was created, which allows the analyst to configure the data acquisition system and display the results from each damage identification algorithm for side-by-side comparison. This side-by-side comparison of results simplifies the task of identifying the relative effectiveness and sensitivity of each algorithm. By grouping a suite of algorithms into one package, this study contributes to and enhances the visibility and interpretation of the active-sensing methods related to damage identification in a structure.

Citation Download Citation

Laura D. Jacobs, Gyuhae Park, and Charles R. Farrar "Development of an integrated software solution for piezoelectric active-sensing in structural health monitoring", Proc. SPIE 6530, Sensor Systems and Networks: Phenomena, Technology, and Applications for NDE and Health Monitoring 2007, 65301C (10 April 2007); https://doi.org/10.1117/12.715829

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