Foundations of population-based SHM, Part I: Homogeneous populations and forms

In Structural Health Monitoring (SHM), measured data that correspond to an extensive set of operational and damage conditions (for a given structure) are rarely available. One potential solution considers that information might be transferred, in some sense, between similar systems. A population-based approach to SHM looks to both model and transfer this missing information, by considering data collected from groups of similar structures. Specifically, in this work, a framework is proposed to model a population of nominally-identical systems, such that (complete) datasets are only available from a subset of members. The SHM strategy defines a general model, referred to as the population form, which is used to monitor a homogeneous group of systems. First, the framework is demonstrated through applications to a simulated population, with one experimental (test-rig) member; the form is then adapted and applied to signals recorded from an operational wind farm. (C) 2020 The Author(s). Published by Elsevier Ltd.

Automated summary

This study introduces a population-based approach to Structural Health Monitoring (SHM) which aims to model and transfer missing information by considering data collected from groups of similar structures. The strategy defines a general model, referred to as the population form, to monitor homogeneous group systems.