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A metric and frameworks for resilience analysis of engineered and infrastructure systems

Reliability engineering & system safety, 2014-01, Vol.121, p.90-103

2014

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Review on modeling and simulation of interdependent critical infrastructure systems

Reliability engineering & system safety, 2014-01, Vol.121, p.43-60

Ouyang, Min

2014

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Failure diagnosis using deep belief learning based health state classification

Reliability engineering & system safety, 2013-07, Vol.115, p.124-135

2013

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The risk concept—historical and recent development trends

Reliability engineering & system safety, 2012-03, Vol.99, p.33-44

Aven, Terje

2012

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A combined Importance Sampling and Kriging reliability method for small failure probabilities with time-demanding numerical models

Reliability engineering & system safety, 2013-03, Vol.111, p.232-240

2013

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Resilience-based network component importance measures

Reliability engineering & system safety, 2013-09, Vol.117, p.89-97

2013

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Polynomial chaos expansion for sensitivity analysis

Reliability engineering & system safety, 2009-07, Vol.94 (7), p.1161-1172

2009

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A proactive condition-based maintenance strategy with both perfect and imperfect maintenance actions

Reliability engineering & system safety, 2015-01, Vol.133, p.22-32

2015

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Practical options for selecting data-driven or physics-based prognostics algorithms with reviews

Reliability engineering & system safety, 2015-01, Vol.133, p.223-236

2015

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Safety analysis in process facilities: Comparison of fault tree and Bayesian network approaches

Reliability engineering & system safety, 2011-08, Vol.96 (8), p.925-932

2011

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Generic metrics and quantitative approaches for system resilience as a function of time

Reliability engineering & system safety, 2012-03, Vol.99, p.114-122

2012

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Ensemble of data-driven prognostic algorithms for robust prediction of remaining useful life

Reliability engineering & system safety, 2012-07, Vol.103, p.120-135

2012

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Inverse Gaussian process models for degradation analysis: A Bayesian perspective

Reliability engineering & system safety, 2014-10, Vol.130, p.175-189

2014

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Global sensitivity analysis using polynomial chaos expansions

Reliability engineering & system safety, 2008-07, Vol.93 (7), p.964-979

Sudret, Bruno

2008

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An overview of the recent advances in delay-time-based maintenance modelling

Reliability engineering & system safety, 2012-10, Vol.106, p.165-178

Wang, Wenbin

2012

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An improved adaptive kriging-based importance technique for sampling multiple failure regions of low probability

Reliability engineering & system safety, 2014-11, Vol.131, p.109-117

2014

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Some considerations on the treatment of uncertainties in risk assessment for practical decision making

Reliability engineering & system safety, 2011, Vol.96 (1), p.64-74

2011

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Bayesian-network-based safety risk analysis in construction projects

Reliability engineering & system safety, 2014-11, Vol.131, p.29-39

2014

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Dynamic risk analysis using bow-tie approach

Reliability engineering & system safety, 2012-08, Vol.104, p.36-44

2012

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Reliability engineering: Old problems and new challenges

Reliability engineering & system safety, 2009-02, Vol.94 (2), p.125-141

Zio, E.

2009

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Incorporation of formal safety assessment and Bayesian network in navigational risk estimation of the Yangtze River

Reliability engineering & system safety, 2013-10, Vol.118, p.93-105

2013

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A review on condition-based maintenance optimization models for stochastically deteriorating system

Reliability engineering & system safety, 2017-01, Vol.157, p.54-63

2017

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Data-driven uncertainty quantification using the arbitrary polynomial chaos expansion

Reliability engineering & system safety, 2012-10, Vol.106, p.179-190

2012

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Monte-Carlo based uncertainty analysis: Sampling efficiency and sampling convergence

Reliability engineering & system safety, 2013-01, Vol.109, p.123-132

Janssen, Hans

2013

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The evolution of system reliability optimization

Reliability engineering & system safety, 2019-12, Vol.192, p.106259, Article 106259

2019

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A metric and frameworks for resilience analysis of engineered and infrastructure systems

Review on modeling and simulation of interdependent critical infrastructure systems

Failure diagnosis using deep belief learning based health state classification

The risk concept—historical and recent development trends

A combined Importance Sampling and Kriging reliability method for small failure probabilities with time-demanding numerical models

Resilience-based network component importance measures

Polynomial chaos expansion for sensitivity analysis

A proactive condition-based maintenance strategy with both perfect and imperfect maintenance actions

Practical options for selecting data-driven or physics-based prognostics algorithms with reviews

Safety analysis in process facilities: Comparison of fault tree and Bayesian network approaches

Generic metrics and quantitative approaches for system resilience as a function of time

Ensemble of data-driven prognostic algorithms for robust prediction of remaining useful life

Inverse Gaussian process models for degradation analysis: A Bayesian perspective

Global sensitivity analysis using polynomial chaos expansions

An overview of the recent advances in delay-time-based maintenance modelling

An improved adaptive kriging-based importance technique for sampling multiple failure regions of low probability

Some considerations on the treatment of uncertainties in risk assessment for practical decision making

Bayesian-network-based safety risk analysis in construction projects

Dynamic risk analysis using bow-tie approach

Reliability engineering: Old problems and new challenges

Incorporation of formal safety assessment and Bayesian network in navigational risk estimation of the Yangtze River

A review on condition-based maintenance optimization models for stochastically deteriorating system

Data-driven uncertainty quantification using the arbitrary polynomial chaos expansion

Monte-Carlo based uncertainty analysis: Sampling efficiency and sampling convergence

The evolution of system reliability optimization

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