Browsing NTNU Open by Author "De Carlo, Filippo"
Now showing items 1-7 of 7
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Bayesian regression based condition monitoring approach for effective reliability prediction of random processes in autonomous energy supply operation
Ahmad, Bahoo Toroody; De Carlo, Filippo; Paltrinieri, Nicola; Tucci, Mario; van Gelder, P.H.A.J.M. (Journal article; Peer reviewed, 2020)The probabilistic analysis on condition monitoring data has been widely established through the energy supply process to specify the optimum risk remediation program. In such studies, the fluctuations and uncertainties of ... -
Comparison of risk-based maintenance approaches applied to a natural gas regulating and metering station
Leoni, Leonardo; De Carlo, Filippo; Sgarbossa, Fabio; Paltrinieri, Nicola (Peer reviewed; Journal article, 2020)In the last decades, many researchers have directed their efforts towards the safety improvement of plants where hazardous substances are processed or handled. This attitude has led to developing strategic plans for ... -
Hydrogen in Glass Sector: A Comparison between Risk-Based Maintenance and Time-Based Maintenance Approaches
Collina, Giulia; Cantini, Alessandra; Leoni, Leonardo; Ferraro, Saverio; De Carlo, Filippo; Bucelli, Marta; Paltrinieri, Nicola (Peer reviewed; Journal article, 2024)Hydrogen can be the key to decarbonisation, even for energy-intensive industries. The glass sector, for instance, burns natural gas to reach high temperatures necessary to melt the raw materials, leading to a considerable ... -
On hierarchical bayesian based predictive maintenance of autonomous natural gas regulating operations
Leoni, Leonardo; BahooToroody, Ahmad; Abaei, Mohammed Mahdi; De Carlo, Filippo; Paltrinieri, Nicola; Sgarbossa, Fabio (Peer reviewed; Journal article, 2021)Safety Improvement of engineering processes, especially Oil & Gas operations, has gained a lot of attention during the last decades. This fundamental vision results in risk remediation programs, minimizing the risks of ... -
On Reliability Challenges of Repairable Systems Using Hierarchical Bayesian Inference and Maximum Likelihood Estimation
Toroody, Ahmad Bahoo; Abaei, Mohammed Mahdi; Arzaghi, Ehsan; Song, Guozheng; De Carlo, Filippo; Paltrinieri, Nicola; Abbassi, Rouzbeh (Journal article; Peer reviewed, 2019)Failure modelling and reliability assessment of repairable systems has been receiving a great deal of attention due to its pivotal role in risk and safety management of process industries. Meanwhile, the level of uncertainty ... -
On risk-based maintenance: A comprehensive review of three approaches to track the impact of consequence modelling for predicting maintenance actions
Leoni, Leonardo; De Carlo, Filippo; Paltrinieri, Nicola; Sgarbossa, Fabio; BahooToroody, Ahmad (Journal article; Peer reviewed, 2021)Since gas plants are progressively increasing near urban areas, a comprehensive tool to plan maintenance and reduce the risk arising from their operations is required. To this end, a comparison of three Risk-Based Maintenance ... -
Reviewing the configuration of spare parts supply chains considering stock deployment and manufacturing options
Cantini, Alessandra (Doctoral theses at NTNU;2023:49, Doctoral thesis, 2023)Spare parts are strategic assets to ensure the execution of maintenance activities in industrial plants. They are exchangeable parts that can be used to replace damaged components, facilitating the restoration of the ...