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ORCIDNicola Paltrinieri
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Journal Articles
- 2024
[j13]Gianluca Tabella
, Domenico Ciuonzo, Nicola Paltrinieri, Pierluigi Salvo Rossi:
Bayesian Fault Detection and Localization Through Wireless Sensor Networks in Industrial Plants. IEEE Internet Things J. 11(8): 13231-13246 (2024)- [j12]Nicola Tamascelli, Giordano Emrys Scarponi, Md. Tanjin Amin, Zaman Sajid, Nicola Paltrinieri, Faisal Khan, Valerio Cozzani:
A neural network approach to predict the time-to-failure of atmospheric tanks exposed to external fire. Reliab. Eng. Syst. Saf. 245: 109974 (2024) - [j11]Alessandro Campari, Federico Ustolin, Antonio Alvaro, Nicola Paltrinieri:
Inspection of hydrogen transport equipment: A data-driven approach to predict fatigue degradation. Reliab. Eng. Syst. Saf. 251: 110342 (2024) - 2023
- [j10]Alessandro Campari, Antonio Javier Nakhal Akel, Federico Ustolin, Antonio Alvaro, Alessandro Ledda, Patrizia Agnello, Pietro Moretto, Riccardo Patriarca, Nicola Paltrinieri:
Lessons learned from HIAD 2.0: Inspection and maintenance to avoid hydrogen-induced material failures. Comput. Chem. Eng. 173: 108199 (2023) - [j9]Muhammad Gibran Alfarizi, Federico Ustolin, Jørn Vatn, Shen Yin, Nicola Paltrinieri:
Towards accident prevention on liquid hydrogen: A data-driven approach for releases prediction. Reliab. Eng. Syst. Saf. 236: 109276 (2023) - 2022
- [j8]Nicola Tamascelli, Riccardo Solini, Nicola Paltrinieri, Valerio Cozzani:
Learning from major accidents: A machine learning approach. Comput. Chem. Eng. 162: 107786 (2022) - 2020
- [j7]Konrad W. Eichhorn Colombo, Vladislav V. Kharton, Filippo Berto, Nicola Paltrinieri:
Transient system-level performance and thermo-mechanical stress analysis of a solid oxide fuel cell-based power generation plant with a multi-physics approach. Comput. Chem. Eng. 140: 106972 (2020) - [j6]Nicola Tamascelli, Nicola Paltrinieri, Valerio Cozzani:
Predicting chattering alarms: A machine Learning approach. Comput. Chem. Eng. 143: 107122 (2020) - [j5]Ahmad BahooToroody, Filippo De Carlo, Nicola Paltrinieri, Mario Tucci, Pieter H. A. J. M. van Gelder:
Bayesian regression based condition monitoring approach for effective reliability prediction of random processes in autonomous energy supply operation. Reliab. Eng. Syst. Saf. 201: 106966 (2020) - [j4]Riccardo Patriarca, Marilia Abílio Ramos, Nicola Paltrinieri, Salvatore Massaiu, Francesco Costantino, Giulio Di Gravio, Ronald Laurids Boring:
Human reliability analysis: Exploring the intellectual structure of a research field. Reliab. Eng. Syst. Saf. 203: 107102 (2020) - 2015
- [j3]Nicola Paltrinieri, Alessandro Tugnoli, Valerio Cozzani:
Hazard identification for innovative LNG regasification technologies. Reliab. Eng. Syst. Saf. 137: 18-28 (2015) - 2014
- [j2]Nima Khakzad, Faisal I. Khan, Nicola Paltrinieri:
On the application of near accident data to risk analysis of major accidents. Reliab. Eng. Syst. Saf. 126: 116-125 (2014) - 2012
- [j1]Nicola Paltrinieri, Knut Øien, Valerio Cozzani:
Assessment and comparison of two early warning indicator methods in the perspective of prevention of atypical accident scenarios. Reliab. Eng. Syst. Saf. 108: 21-31 (2012)
Conference and Workshop Papers
- 2023
- [c6]Nicola Tamascelli, Harikrishna Rao Mohan Rao, Valerio Cozzani, Nicola Paltrinieri, Tongwen Chen:
Online Classification of Alarm Floods Using a Word2vec Algorithm. IECON 2023: 1-6 - 2022
- [c5]Gianluca Tabella, Yuri Di Martino, Domenico Ciuonzo, Nicola Paltrinieri, Xiaodong Wang, Pierluigi Salvo Rossi:
Sensor Fusion for Detection and Localization of Carbon Dioxide Releases for Industry 4.0. FUSION 2022: 1-8 - [c4]Gianluca Tabella, Yuri Di Martino, Domenico Ciuonzo, Nicola Paltrinieri, Xiaodong Wang, Pierluigi Salvo Rossi:
Decision Fusion for Carbon Dioxide Release Detection from Pressure Relief Devices. SAM 2022: 46-50 - 2021
- [c3]Gianluca Tabella, Domenico Ciuonzo, Nicola Paltrinieri, Pierluigi Salvo Rossi:
Spatio-Temporal Decision Fusion for Quickest Fault Detection Within Industrial Plants: The Oil and Gas Scenario. FUSION 2021: 1-8 - 2020
- [c2]Gianluca Tabella, Nicola Paltrinieri, Valerio Cozzani, Pierluigi Salvo Rossi:
Data Fusion for Subsea Oil Spill Detection Through Wireless Sensor Networks. IEEE SENSORS 2020: 1-4 - 2019
- [c1]Behnaz Hosseinnia, Nima Khakzad, Riccardo Patriarca, Nicola Paltrinieri:
Modeling Risk Influencing Factors of Hydrocarbon Release Accidents in Maintenance Operations using FRAM. ICSRS 2019: 290-294
Coauthor Index
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