MATEMATICAS
Saila
Ana Isabel
Sánchez Galdón
Ana Isabel Sánchez Galdón-rekin lankidetzan egindako argitalpenak (9)
2018
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Modelling demand-caused failures. Estimation procedure
Safety and Reliability - Safe Societies in a Changing World - Proceedings of the 28th International European Safety and Reliability Conference, ESREL 2018
2017
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An overview of optimization criteria in the context of advanced surveillance requirements
Safety and Reliability - Theory and Applications - Proceedings of the 27th European Safety and Reliability Conference, ESREL 2017
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Development of advanced surveillance requirements of nuclear power plants using a risk-informed approach in the horizon 2020
Risk, Reliability and Safety: Innovating Theory and Practice - Proceedings of the 26th European Safety and Reliability Conference, ESREL 2016
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Parameter Estimation of a Reliability Model of Demand-Caused and Standby-Related Failures of Safety Components Exposed to Degradation by Demand Stress and Ageing That Undergo Imperfect Maintenance
Mathematical Problems in Engineering, Vol. 2017
2016
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Optimization of test and maintenance of ageing components consisting of multiple items and addressing effectiveness
Reliability Engineering and System Safety, Vol. 153, pp. 151-158
2011
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Comparison between different uncertainty propagation methods in multivariate analysis: An application in the bivariate case
Reliability Engineering and System Safety
2009
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A study about influence of uncertain distribution inputs in maintenance optimization
Safety, Reliability and Risk Analysis: Theory, Methods and Applications - Proceedings of the Joint ESREL and SRA-Europe Conference
2007
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Motor-operated valve maintenance optimization considering multiple failure modes and imperfect maintenance models
Proceedings of the European Safety and Reliability Conference 2007, ESREL 2007 - Risk, Reliability and Societal Safety
2006
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Parameters estimation under preventive imperfect maintenance
Proceedings of the European Safety and Reliability Conference 2006, ESREL 2006 - Safety and Reliability for Managing Risk