A framework for the Monte Carlo simulation of degradation and failure processes in the assessment of maintenance programs performance

Zille, Valérie; Despujols, Antoine; Baraldi, Piero; Zio, G. Rossetti E.

doi:10.1201/9780203859759-101

Reliability, Risk, and Safety, Three Volume Set 2009

DOI: 10.1201/9780203859759-101

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A framework for the Monte Carlo simulation of degradation and failure processes in the assessment of maintenance programs performance

Valérie Zille¹,

Antoine Despujols²,

Piero Baraldi³

et al.

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2014

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Uncertainty treatment in expert information systems for maintenance policy assessment

Baraldi

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Zio

2014

Applied Soft Computing

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This paper proposes a framework based on the Dempster-Shafer Theory of Evidence (DSTE), Possibility Theory (PT) and Fuzzy Random Variables (FRVs) to represent and propagate the epistemic uncertainty in the parameters of the component degradation-failure models used to evaluate the performance of maintenance policies. An example of application is given with reference to a check valve of a turbo-pump lubricating system in a Nuclear Power Plant, which is affected by fatigue and overtakes condition-based maintenance interventions.

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Uncertainty treatment in expert information systems for maintenance policy assessment

Baraldi

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Zio

2014

Applied Soft Computing

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A framework for the Monte Carlo simulation of degradation and failure processes in the assessment of maintenance programs performance

Cited by 1 publication

References 0 publications

Uncertainty treatment in expert information systems for maintenance policy assessment

Uncertainty treatment in expert information systems for maintenance policy assessment

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