Novelty detection under changing environmental conditions

Hoon Sohn; Keith Worden; Charles R. Farrar

doi:10.1117/12.434110

30 July 2001 Novelty detection under changing environmental conditions

Hoon Sohn, Keith Worden, Charles R. Farrar

Proceedings Volume 4330, Smart Structures and Materials 2001: Smart Systems for Bridges, Structures, and Highways; (2001) https://doi.org/10.1117/12.434110
Event: SPIE's 8th Annual International Symposium on Smart Structures and Materials, 2001, Newport Beach, CA, United States

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.

Citation Download Citation

Hoon Sohn, Keith Worden, and Charles R. Farrar "Novelty detection under changing environmental conditions", Proc. SPIE 4330, Smart Structures and Materials 2001: Smart Systems for Bridges, Structures, and Highways, (30 July 2001); https://doi.org/10.1117/12.434110

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