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Proceedings Paper

Novelty detection under changing environmental conditions
Author(s): Hoon Sohn; Keith Worden; Charles R. Farrar
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Paper Abstract

The primary objective of novelty detection is to examine a system's dynamic response to determine if the system significantly deviates from an initial baseline condition. In reality, the system is often subject to changing environmental and operation conditions that affect its dynamic characteristics. Such variations include changes in loading, boundary conditions, temperature, and moisture. Most damage diagnosis techniques, however, generally neglect the effects of these changing ambient conditions. Here, a novelty detection technique is developed explicitly taking into account these natural variations of the system in order to minimize false positive indications of true system changes. Auto-associative neural networks are employed to discriminate system changes of interest such as structural deterioration and damage from the natural variations of the system.

Paper Details

Date Published: 30 July 2001
PDF: 11 pages
Proc. SPIE 4330, Smart Structures and Materials 2001: Smart Systems for Bridges, Structures, and Highways, (30 July 2001); doi: 10.1117/12.434110
Show Author Affiliations
Hoon Sohn, Los Alamos National Lab. (United States)
Keith Worden, Univ. of Sheffield (United Kingdom)
Charles R. Farrar, Los Alamos National Lab. (United States)

Published in SPIE Proceedings Vol. 4330:
Smart Structures and Materials 2001: Smart Systems for Bridges, Structures, and Highways
S.-C. Liu, Editor(s)

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