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1 Conference paper

On the Value of Structural Health Information

Thöns, Sebastian

Proceedings of the Twelfth International Workshop on Structural Health Monitoring — 2019

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

Year: 2019

Language: English

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2 Journal article

An alternative quantification of the value of information in structural health monitoring

Thöns, Sebastian; Pina Limongelli, Maria; Lu, Dagang; Chadha, Mayank; Hu, Zhen; Todd, Michael D

Structural Health Monitoring — 2022, Volume 21, Issue 1, pp. 138-164

Analogous to an experiment, a structural health monitoring (SHM) system may be thought of as an information-gathering mechanism. Gathering the information that is representative of the structural state and correctly inferring its meaning helps engineers (decision-makers) mitigate possible losses

Year: 2022

Language: Undetermined

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3 Journal article

Value of information of structural health monitoring with temporally dependent observations

Thöns, Sebastian; Pina Limongelli, Maria; Lu, Dagang; Nielsen, Jannie S

Structural Health Monitoring — 2022, Volume 21, Issue 1, pp. 165-184

A Bayesian approach is often applied when updating a deterioration model using observations from inspections, structural health monitoring, or condition monitoring. The observations are stochastic variables with probability distributions that depend on the damage size. Consecutive observations

Year: 2022

Language: Undetermined

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4 Conference paper

Value of information: A roadmap to quantifying the benefit of structural health monitoring

Straub, D.; Chatzi, E.; Bismut, E.; Courage, W.M.G.; Döhler, M.; Faber, Michael H.; et al. (8 more)

Safety, Reliability, Risk, Resilience and Sustainability of Structures and Infrastructure — 2017, pp. 3018-3029

The concept of value of information (VoI) enables quantification of the benefits provided by structural health monitoring (SHM) systems – in principle. Its implementation is challenging, as it requires an explicit modelling of the structural system’s life cycle, in particular of the decisions

Year: 2017

Language: English

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5 Conference paper

On the Value of Structural Health Monitoring Information for the Operation of Wind Parks

Thöns, Sebastian; Faber, Michael H.; Val, Dimitri V.

Safety, Reliability, Risk, Resilience and Sustainability of Structures and Infrastructure — 2017, pp. 3008-3017

In the present paper, an approach for the quantification of the Value of Structural Health Monitoring (SHM) Information building upon a framework for infrastructure system utility and decision analysis is developed and applied to the operation of wind parks. The quantification of the value of SHM

Year: 2017

Language: English

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6 Conference paper

Quantification of the Value of Structural Health Monitoring Information for Fatigue Deteriorating Structural Systems

Thöns, Sebastian; Schneider, Ronald; Faber, Michael Havbro

Proceedings of the 12th International Conference on Applications of Statistics and Probability in Civil Engineering — 2015

This paper addresses the quantification of the value of structural health monitoring (SHM) before its implementation for structural systems on the basis of its Value of Information (VoI). The value of SHM is calculated utilizing the Bayesian pre-posterior decision analysis modelling the structural

Year: 2015

Language: English

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7 Conference paper

Case studies for quantifying the value of structural health monitoring information: lessons learnt

Thöns, Sebastian; Klerk, Wouter Jan; Köhler, Jochen

Proceedings of the Iabse Symposium 2019 Guimarães — 2019, pp. 345-352

This paper provides an overview, insights, results and a classification related to development and analyses of case studies within the scientific networking project COST Action TU1402 on the value of Structural Health Monitoring (SHM) information. With an outline of the framework and approaches

Year: 2019

Language: English

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