Numerical Investigations into the Value of Information in Lifecycle Analysis of Structural Systems

Konakli, Katerina; Sudret, Bruno; Faber, Michael Havbro

doi:10.1061/ajrua6.0000850

Cited by 34 publications

(27 citation statements)

References 38 publications

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“…The notion of Value of Information (VoI) has recently received increasing attention for inspection prioritization, sensor placement or complex policies for maintaining systems, especially in Structural Health Monitoring (SHM) where sensors or inspections can be expensive, see works of Der Kiureghian (2011), Straub (2014), Zonta et al (2014), Konakli et al (2015) and Memarzadeh and Pozzi (2016).…”

Section: Review On Maintenance Strategiesmentioning

confidence: 99%

Estimation of the value of prognostic information for condition-based and predictive maintenance

Fauriat¹,

Zio²

2019

Proceedings of the 29th European Safety and Reliability Conference (ESREL)

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For components subject to degradation, cost-efficient maintenance is necessary. Periodic or continuous collection of information, reducing uncertainty on the component's state of health, generally leads to a better-informed and, thus, more efficient maintenance. Processing condition monitoring data to estimate the current and future health states of the component, can prove valuable. In this paper, it is proposed to quantify the Value of Information (VoI) that may be obtained from state estimation and prediction procedures, with known precision, applied for conditionbased and predictive maintenance. VoI is computed numerically using gamma process paths and on the basis of the optimization of the parameters of different maintenance strategies.

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Section: Review On Maintenance Strategiesmentioning

confidence: 99%

Estimation of the value of prognostic information for condition-based and predictive maintenance

Fauriat¹,

Zio²

2019

Proceedings of the 29th European Safety and Reliability Conference (ESREL)

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“…The notion of Value of Information (VoI) has recently received increasing attention for inspection prioritization, sensor placement or complex policies for maintaining systems, especially in Structural Health Monitoring (SHM) where sensors or inspections can be expensive, see works of Pozzi and Der Kiureghian (2011), Straub (2014), Zonta et al (2014), Konakli et al (2015) and Memarzadeh and Pozzi (2016).…”

Section: Review On Maintenance Strategiesmentioning

confidence: 99%

Estimation of the value of prognostic information for condition-based and predictive maintenance

Fauriat¹,

Zio²

2019

Proceedings of the 29th European Safety and Reliability Conference (ESREL)

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“…While some theoretical algorithms for Value of Information (VoI) analysis have been proposed in civil and structural engineering (Sebastian 2018, Malings and Pozzi 2018, Konakli, Sudret, and Faber 2015, the concept has rarely been applied in the context of marine engineering. There is a lack of research on a direct comparison of CBM and TBM maintenance strategies, and on where the VoI comes from, both of which are worthy topics for a marine engineering field currently dominated by TBM (Cullum et al 2018).…”

Section: Introductionmentioning

confidence: 99%

Probabilistic investigations into the value of information: A comparison of condition-based and time-based maintenance strategies

et al. 2019

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Optimal maintenance of marine structures is challenging due to numerous fatigue-prone components, serious failure consequences, high maintenance costs, harsh sea environments, difficult access, and uncertainties in fatigue loading, resistance, and inspection and maintenance activities. Time-based maintenance (TBM) is convenient to implement. However, condition-based maintenance (CBM) is proved to be more cost-effective. This paper assesses the value of information (VoI) by inspections in CBM, compared to TBM, and investigates the conditions for CBM to outperform TBM in terms of fatigue reliability. A probabilistic maintenance optimization method and a life cycle cost analysis framework are established to derive optimal CBM and TBM strategies with the objective of maximizing lifetime reliability and evaluating their life cycle costs. The advantages of CBM, in comparison to TBM, and the VoI depends strongly on the inspection time. The CBM can achieve higher reliability with fewer maintenance costs than the TBM. An illustrative example is provided using the established probabilistic method and framework to support optimal maintenance planning. This example serves as a basis to explain the benefits of CBM to lifetime fatigue reliability and cost reduction, the conditions when CBM is more beneficial than TBM, the conditions for beneficial, ineffective and unbeneficial repair, and the VoI by inspections.

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Numerical Investigations into the Value of Information in Lifecycle Analysis of Structural Systems

Cited by 34 publications

References 38 publications

Estimation of the value of prognostic information for condition-based and predictive maintenance

Estimation of the value of prognostic information for condition-based and predictive maintenance

Estimation of the value of prognostic information for condition-based and predictive maintenance

Probabilistic investigations into the value of information: A comparison of condition-based and time-based maintenance strategies

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