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Proceedings Paper

Uncertainty propagation of transmissibility-based structural health monitoring features
Author(s): Zhu Mao; Michael Todd
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Paper Abstract

Features derived from estimations of transmissibility (output-to-output response) are now widely used in vibration-based structural health monitoring (SHM) applications. However, for realistic conditions, transmissibility measurements are always subject to environmental, operational and measurement variability, and the uncertainty will propagate through to any features derived from it, leading to misinterpretation and false alarms. This paper proposes a statistical model that quantifies that uncertainty so that confidence intervals on feature estimates are possible, leading to reduced false alarms and the possibility of a minimum detection performance calculation. The uncertainty quantification model is validated via a clamped plate structure, and for a stricter validation requirement, additive noise is contaminated to the lab measurements to simulate more realistic in-situ conditions. A good consistency is observed between the proposed statistical model and real test results, and leads to promising applications for structural health monitoring with quantified uncertainty.

Paper Details

Date Published: 19 April 2012
PDF: 8 pages
Proc. SPIE 8348, Health Monitoring of Structural and Biological Systems 2012, 834811 (19 April 2012); doi: 10.1117/12.915025
Show Author Affiliations
Zhu Mao, Univ. of California, San Diego (United States)
Michael Todd, Univ. of California, San Diego (United States)

Published in SPIE Proceedings Vol. 8348:
Health Monitoring of Structural and Biological Systems 2012
Tribikram Kundu, Editor(s)

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