This paper is the second in a series in which the aim is to provide an underlying database technology for enabling the user interaction required for Population-Based Structural Health Monitoring (PBSHM). In the first paper in the series, the groundwork was laid for a PBSHM Schema which enabled the storage of channel data via a Time First approach. PBSHM considers grouping similar structures together to gain additional insights from the group, compared to a single entity. Part of the PBSHM process is being able to identify which structures, or substructures, are similar. To enable this a standardised method of representing each structure must be used; here, an Irreducible Element (IE) model is employed. This paper builds on the groundwork that has been laid in the creation of IE models and defines a standardised format and properties for an IE modal to enable graph matching algorithms to find similar structures. The standardised format has been implemented via an IE-model Schema within the PBSHM Schema.
One of the major obstacles to the widespread uptake of data-based Structural Health Monitoring so far, has been the lack of damage-state data for the (mostly high-value) structures of interest. To address this issue, a methodology for sharing data and models between structures has been developed–Population-Based Structural Health Monitoring (PBSHM). PBSHM works on the principle that, if populations of structures are sufficiently similar, or share sections which can be considered similar, then data and models can be shared between them for use in diagnostic inference. The PBSHM methodology therefore relies on two key components: firstly, identifying whether structures are sufficiently similar for successful transfer of diagnostics; this is achieved by the use of an abstract representation of structures. Secondly, machine learning techniques are exploited to effectively transfer information between the structures in a way that improves damage detection and classification across the whole population. Although PBSHM has been conceived to deal with large and general classes of structures, much of the detailed developments presented so far have concerned bridges; the aim of this paper is to provide similarly detailed discussions in the aerospace context. The overview here will examine data transfer between aircraft components, as well as illustrating how one might construct an abstract representation of a full aircraft.
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