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Proceedings Paper

A haptic-inspired audio approach for structural health monitoring decision-making
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Paper Abstract

Haptics is the field at the interface of human touch (tactile sensation) and classification, whereby tactile feedback is used to train and inform a decision-making process. In structural health monitoring (SHM) applications, haptic devices have been introduced and applied in a simplified laboratory scale scenario, in which nonlinearity, representing the presence of damage, was encoded into a vibratory manual interface. In this paper, the “spirit” of haptics is adopted, but here ultrasonic guided wave scattering information is transformed into audio (rather than tactile) range signals. After sufficient training, the structural damage condition, including occurrence and location, can be identified through the encoded audio waveforms. Different algorithms are employed in this paper to generate the transformed audio signals and the performance of each encoding algorithms is compared, and also compared with standard machine learning classifiers. In the long run, the haptic decision-making is aiming to detect and classify structural damages in a more rigorous environment, and approaching a baseline-free fashion with embedded temperature compensation.

Paper Details

Date Published: 23 March 2015
PDF: 8 pages
Proc. SPIE 9438, Health Monitoring of Structural and Biological Systems 2015, 943821 (23 March 2015); doi: 10.1117/12.2084464
Show Author Affiliations
Zhu Mao, Univ. of California, San Diego (United States)
Michael Todd, Univ. of California, San Diego (United States)
David Mascareñas, Los Alamos National Lab. (United States)


Published in SPIE Proceedings Vol. 9438:
Health Monitoring of Structural and Biological Systems 2015
Tribikram Kundu, Editor(s)

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