A neural network approach to predict the time-to-failure of atmospheric tanks exposed to external fire-Reference-Cited by-同舟云学术

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A neural network approach to predict the time-to-failure of atmospheric tanks exposed to external fire

Published:2024-05 Issue: Volume:245 Page:109974
ISSN:0951-8320
Container-title:Reliability Engineering & System Safety
language:en
Short-container-title:Reliability Engineering & System Safety

Author:

Tamascelli Nicola^ORCID,Scarponi Giordano Emrys^ORCID,Amin Md Tanjin^ORCID,Sajid Zaman,Paltrinieri Nicola,Khan Faisal,Cozzani Valerio^ORCID

Publisher

Elsevier BV

Reference77 articles.

1. Pool fires in chemical process industries: occurrence, mechanism, management;Vipin;J Failure Anal Prevent,2018

2. Fire;Lees,2012

3. Domino effect in process-industry accidents – An inventory of past events and identification of some patterns;Abdolhamidzadeh;J Loss Prev Process Ind,2011

4. Dynamic analysis for fire-induced domino effects in chemical process industries;Huang;Process Saf Environ Protect,2021

5. Texas LPG fire: domino effects triggered by natural hazards;Naderpour;Proc Saf Environ Protect,2018

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1. A comprehensive study for probability prediction of domino effects considering synergistic effects;Reliability Engineering & System Safety;2024-11

2. Machine Learning Based Fault Classification in Pilot Plant Batch Reactor: Using Support Vector Machine;ACS Omega;2024-06-19

3. Оптимальний вибір сил та засобів для локалізації пожежі в резервуарній групі;Problems of Emergency Situations;2024-04-24

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