Search Results - "Compare, M."

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  1. 1

    A reinforcement learning framework for optimal operation and maintenance of power grids by Rocchetta, R., Bellani, L., Compare, M., Zio, E., Patelli, E.

    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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    Journal Article
  2. 2

    Optimal Prognostics and Health Management-driven inspection and maintenance strategies for industrial systems by Mancuso, A., Compare, M., Salo, A., Zio, E.

    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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    Journal Article
  3. 3

    Genetic algorithms for condition-based maintenance optimization under uncertainty by Compare, M., Martini, F., Zio, E.

    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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    Journal Article
  4. 4

    Ensemble neural network-based particle filtering for prognostics by Baraldi, P., Compare, M., Sauco, S., Zio, E.

    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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    Journal Article
  5. 5

    Portfolio optimization of safety measures for the prevention of time-dependent accident scenarios by Mancuso, A., Compare, M., Salo, A., Zio, E.

    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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    Journal Article
  6. 6

    Portfolio optimization of safety measures for reducing risks in nuclear systems by Mancuso, A., Compare, M., Salo, A., Zio, E.

    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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    Journal Article
  7. 7

    Industrial equipment reliability estimation: A Bayesian Weibull regression model with covariate selection by Compare, M., Baraldi, P., Bani, I., Zio, E., McDonnell, D.

    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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    Journal Article
  8. 8

    Development of a Bayesian multi-state degradation model for up-to-date reliability estimations of working industrial components by Compare, M., Baraldi, P., Bani, I., Zio, E., Mc Donnell, D.

    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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    Journal Article
  9. 9

    Development of a methodology for systematic analysis of risk reduction by protective measures in tyre production machinery by Compare, M., Zio, E., Moroni, E., Portinari, G., Zanini, T.

    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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    Journal Article
  10. 10

    A fuzzy expectation maximization based method for estimating the parameters of a multi-state degradation model from imprecise maintenance outcomes by Cannarile, F., Compare, M., Rossi, E., Zio, E.

    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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    Journal Article
  11. 11

    A method for ranking components importance in presence of epistemic uncertainties by Baraldi, P., Zio, E., Compare, M.

    “…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. 12

    A Modeling Framework for Maintenance Optimization of Electrical Components Based on Fuzzy Logic and Effective Age by Baraldi, P., Balestrero, A., Compare, M., Benetrix, L., Despujols, A., Zio, E.

    “…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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    Journal Article
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    Estimation Of The Lower Heating Value Of Solid Recovered Fuel Based On Swir Hyper-Spectral Images And Machine Learning by Verga, S., Compare, M., Zio, E., Carra, G., Farina, M., Righetto, I., Sala, V.

    “…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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    Elastic net multinomial logistic regression for fault diagnostics of on-board aeronautical systems by Cannarile, F., Compare, M., Baraldi, P., Diodati, G., Quaranta, V., Zio, E.

    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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    Journal Article
  18. 18

    Maintenance policy performance assessment in presence of imprecision based on Dempster–Shafer Theory of Evidence by Baraldi, P., Compare, M., Zio, E.

    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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    Journal Article
  19. 19

    Risk-based optimization of pipe inspections in large underground networks with imprecise information by Mancuso, A., Compare, M., Salo, A., Zio, E., Laakso, T.

    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. 20

    Uncertainty treatment in expert information systems for maintenance policy assessment by Baraldi, P., Compare, M., Zio, E.

    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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    Journal Article