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Damage Detection Sensitivity, Specificity and Classification Data Analysis for SHM Systems Design, Verification and Validation

Geetha, Kolappan G and Ravi, Nitin B and Chakraborty, Nibir and Ukirde, Kishorkumar C and Kamalakar, GS and Mahapatra, DR (2015) Damage Detection Sensitivity, Specificity and Classification Data Analysis for SHM Systems Design, Verification and Validation. In: 10th International Workshop on Structural Health Monitoring (IWSHM), SEP 01-03, 2015, Stanford Univ, Stanford, CA, pp. 2295-2301.

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Abstract

In this paper, we consider applying derived knowledge base regarding the sensitivity and specificity of damage(s) to be detected by an SHM system being designed and qualified. These efforts are necessary toward developing capabilities in SHM system to classify reliably various probable damages through sequence of monitoring, i.e., damage precursor identification, detection of damage and monitoring its progression. We consider the particular problem of visual and ultrasonic NDE based SHM system design requirements, where the damage detection sensitivity and specificity data definitions for a class of structural components are established. Methodologies for SHM system specification creation are discussed in details. Examples are shown to illustrate how the physics of damage detection scheme limits particular damage detection sensitivity and specificity and further how these information can be used in algorithms to combine various different NDE schemes in an SHM system to enhance efficiency and effectiveness. Statistical and data driven models to determine the sensitivity and probability of damage detection (POD) has been demonstrated for plate with varying one-sided line crack using optical and ultrasonic based inspection techniques.

Item Type: Conference Proceedings
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Additional Information: Copy right for this article belongs to the DESTECH PUBLICATIONS, INC, 439 DUKE STREET, LANCASTER, PA 17602-4967 USA
Department/Centre: Division of Mechanical Sciences > Aerospace Engineering (Formerly, Aeronautical Engineering)
Date Deposited: 06 Jan 2016 05:53
Last Modified: 06 Jan 2016 05:53
URI: http://eprints.iisc.ernet.in/id/eprint/53065

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