Published July 19, 2011 | Version v1
Journal article

A Method for Vibration-Based Structural Interrogation and Health Monitoring Based on Signal Cross-Correlation

  • 1. Department of Mechanical Engineering, University of Strathclyde, 75 Montrose street, Glasgow, G1 1XJ (United Kingdom)

Description

Vibration-based structural interrogation and health monitoring is a field which is concerned with the estimation of the current state of a structure or a component from its vibration response with regards to its ability to perform its intended function appropriately. One way to approach this problem is through damage features extracted from the measured structural vibration response. This paper suggests to use a new concept for the purposes of vibration-based health monitoring. The correlation between two signals, an input and an output, measured on the structure is used to develop a damage indicator. The paper investigates the applicability of the signal cross-correlation and a nonlinear alternative, the average mutual information between the two signals, for the purposes of structural health monitoring and damage assessment. The suggested methodology is applied and demonstrated for delamination detection in a composite beam.

Availability note (English)

Available from http://dx.doi.org/10.1088/1742-6596/305/1/012005

Additional details

Publishing Information

Journal Title
Journal of Physics. Conference Series (Online)
Journal Volume
305
Journal Issue
1
Journal Page Range
[10 p.]
ISSN
1742-6596

Conference

Title
9. international conference on damage assessment of structures
Acronym
DAMAS 2011
Dates
11-13 Jul 2011
Place
Oxford (United Kingdom)

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
43071584
Subject category
S42: ENGINEERING; S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
Resource subtype / Literary indicator
Conference
Descriptors DEI
CORRELATIONS; DAMAGE; DETECTION; INDICATORS; MECHANICAL STRUCTURES; MECHANICAL VIBRATIONS; MONITORING; NONLINEAR PROBLEMS; SIGNALS