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On the Value of Structural Health Information
Abstract
Structural Health Information (SHI) may be provided by various sources such as e.g. structural health monitoring, inspections, testing and digital technologies and networks as by the Industry Internet of Things (IIOT). SHI holds a high potential for industrial, life safety and sustainability value and facilitates an optimal and intelligent life cycle management of infrastructure and machinery systems. The paper documents the utility, decision and reliability theoretical basis for the quantification of the value of SHI – as explicated by the scientific networking project COST Action TU1402 – and the basics of detection and Bayes risk theory, which have shaped the field of structural health monitoring. Both approaches are illustrated with a generic analysis. The value assessment of different SHI types is described and the boundaries for achieving a high industrial and societal value of SHI are explicated.
DOI
10.12783/shm2019/32094
10.12783/shm2019/32094