Search Results - "Compare, M."
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1
A reinforcement learning framework for optimal operation and maintenance of power grids
Published in Applied energy (01-05-2019)“…•Operations and maintenance of grids is framed as a Sequential Decision Problem.•Prognostics and health management capabilities support maintenance…”
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2
Optimal Prognostics and Health Management-driven inspection and maintenance strategies for industrial systems
Published in Reliability engineering & system safety (01-06-2021)“…The performance of the Prognostics and Health Management (PHM) depends both on the functioning of the measurement acquisition system and on the actual state of…”
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3
Genetic algorithms for condition-based maintenance optimization under uncertainty
Published in European journal of operational research (16-07-2015)“…•We want to optimize a CBM policy when the maintenance model parameters are uncertain.•The uncertainty is Monte-Carlo propagated onto the performance…”
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4
Ensemble neural network-based particle filtering for prognostics
Published in Mechanical systems and signal processing (01-12-2013)“…Particle Filtering (PF) is used in prognostics applications by reason of its capability of robustly predicting the future behavior of an equipment and, on this…”
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5
Portfolio optimization of safety measures for the prevention of time-dependent accident scenarios
Published in Reliability engineering & system safety (01-10-2019)“…•Risk-based optimization to select preventive safety measures for process systems•Probabilistic model capturing the temporal evolution of component…”
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6
Portfolio optimization of safety measures for reducing risks in nuclear systems
Published in Reliability engineering & system safety (01-11-2017)“…•Risk-based optimization to select safety measures in high-risk installations.•Computationally viable algorithm to identify cost-efficient…”
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7
Industrial equipment reliability estimation: A Bayesian Weibull regression model with covariate selection
Published in Reliability engineering & system safety (01-08-2020)“…•A three-state continuous-time semi-Markov process with Weibull-distributed transition times is used for degradation modeling.•Transition times are influenced…”
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8
Development of a Bayesian multi-state degradation model for up-to-date reliability estimations of working industrial components
Published in Reliability engineering & system safety (01-10-2017)“…We consider a three-state continuous-time semi-Markov process with Weibull-distributed transition times to model the degradation mechanism of an industrial…”
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9
Development of a methodology for systematic analysis of risk reduction by protective measures in tyre production machinery
Published in Safety science (01-12-2018)“…•A systematic methodology for risk analysis is presented.•The methodology is compliant with ISO 12100.•A classification of the protective measures for risk…”
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10
A fuzzy expectation maximization based method for estimating the parameters of a multi-state degradation model from imprecise maintenance outcomes
Published in Annals of nuclear energy (01-12-2017)“…•We develop a Fuzzy EM algorithm to estimate the parameters of a MS degradation model of a NPP PS.•We exploit both field inspection outcomes and maintenance…”
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11
A method for ranking components importance in presence of epistemic uncertainties
Published in Journal of loss prevention in the process industries (01-09-2009)“…Importance Measures (IMs) are used to rank the contributions of components or basic events to the system performance, e.g. its reliability or risk. Most times,…”
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Journal Article -
12
A Modeling Framework for Maintenance Optimization of Electrical Components Based on Fuzzy Logic and Effective Age
Published in Quality and reliability engineering international (01-04-2013)“…In this article, the problem of building a model in support of maintenance optimization when the only available information is that elicited from one expert is…”
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13
Prevalence of eosinophilic esophagitis: A multicenter study on a pediatric population evaluated at thirty-six Latin American gastroenterology centers
Published in Revista de Gastroenterología de México (English Edition) (01-10-2019)“…Eosinophilic esophagitis is a chronic, immune-mediated disease described in case series and publications worldwide. Over the past twenty years, the authors of…”
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14
Prevalencia de esofagitis eosinofílica: estudio multicéntrico en población pediátrica evaluada en 36 centros de gastroenterología de América Latina
Published in Revista de gastroenterología de México (01-10-2019)“…Resumen Introducción y objetivo La esofagitis eosinofílica es una enfermedad crónica, mediada inmunológicamente, descrita en series y publicaciones alrededor…”
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15
Estimation Of The Lower Heating Value Of Solid Recovered Fuel Based On Swir Hyper-Spectral Images And Machine Learning
Published in 2022 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS) (13-09-2022)“…In this work, we apply Machine Learning techniques to Hyper-Spectral Images acquired by a Short Wave Infra-Red (SWIR) Camera, to classify the materials…”
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Conference Proceeding -
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Prevalence of eosinophilic esophagitis: A multicenter study on a pediatric population evaluated at thirty-six Latin American gastroenterology centers
Published in Revista de Gastroenterología de México (English Edition) (01-10-2019)“…Eosinophilic esophagitis is a chronic, immune-mediated disease described in case series and publications worldwide. Over the past twenty years, the authors of…”
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Journal Article -
17
Elastic net multinomial logistic regression for fault diagnostics of on-board aeronautical systems
Published in Aerospace science and technology (01-11-2019)“…The objective of this work is the development of a fault diagnostic system for a shaker blower used in on-board aeronautical systems. Features extracted from…”
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18
Maintenance policy performance assessment in presence of imprecision based on Dempster–Shafer Theory of Evidence
Published in Information sciences (01-10-2013)“…The aim of this work is to assess the performance of a maintenance policy when a stochastic model of the life of the component of interest is known, but relies…”
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19
Risk-based optimization of pipe inspections in large underground networks with imprecise information
Published in Reliability engineering & system safety (01-08-2016)“…In this paper, we present a novel risk-based methodology for optimizing the inspections of large underground infrastructure networks in the presence of…”
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Journal Article -
20
Uncertainty treatment in expert information systems for maintenance policy assessment
Published in Applied soft computing (01-09-2014)“…•We know the stochastic model of the degradation process affecting a component.•Its parameters are poorly known, and only via expert judgment.•We use…”
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