Affiliations: LGEF, INSA-Lyon, Villeurbanne, France | MATEIS, INSA-Lyon, Villeurbanne, France
Note: [] Corresponding author: M. Lallart, LGEF, INSA-Lyon, 8, rue de la
Physique, F-69621, Villeurbanne, France. E-mail:
mickael.lallart@insa-lyon.fr
Abstract: Recent trends in Structural Health Monitoring (SHM) systems have
demonstrated the growing interest in autonomous, embeddable devices able to
perform in-situ inspection and to work conjointly and wirelessly in a global
sensor network. Hence, the energy aspect is of prior importance when dealing
with such systems. However, most signal processing methods for assessing the
integrity of a structure still rely on linear transforms or operators, such as
Fourier or amplitude analysis, which for example require analog-to-digital
converters that consume a lot of energy. As well, in addition of optimizing the
signal processing, another important part is the use of a proper energy
management for the whole system. Hence, the purpose of this paper is twofold.
First, it aims at reviewing a particular set of low energy cost methods for
Structural Health Monitoring consisting of deriving a Damage Index (DI)
obtained from the comparison of the LW signature with a reference signal using
logical operators that greatly reduce the required computational energy. A
particular emphasis will be placed not only on the performance of the exposed
techniques, but also on their energy consumption as well as their sensitivity
and robustness facing environmental drifts. It will therefore be shown that the
use of non-linear operators for the comparison permits ultra-low energy
requirements while allowing detection abilities similar to classical
approaches. The second objective of this paper is to discuss the implementation
of the whole system in an efficient way using proper management strategies.
This issue will be discussed through an example of a self-powered SHM scheme
powered using ambient vibrations.
Keywords: Structural Health Monitoring, damage index, Lamb wave, low-power, self-powered
