Ageing management and monitoring of critical equipment at Seveso sites: An ontological approach-Reference-Cited by-同舟云学术

Ageing management and monitoring of critical equipment at Seveso sites: An ontological approach

Published:2020-07 Issue: Volume:66 Page:104204
ISSN:0950-4230
Container-title:Journal of Loss Prevention in the Process Industries
language:en
Short-container-title:Journal of Loss Prevention in the Process Industries

Author:

Bragatto Paolo A.,Ansaldi Silvia M.,Agnello Patrizia,Di Condina Tiziano,Zanzotto Fabio M.,Milazzo Maria Francesca

Funder

Istituto Nazionale per l'Assicurazione Contro Gli Infortuni sul Lavoro

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Energy Engineering and Power Technology,Safety, Risk, Reliability and Quality,General Chemical Engineering,Food Science,Control and Systems Engineering

Reference31 articles.

1. Risk-based inspection,2016

2. Risk-based Inspection Methodology,2016

3. A Bayesian network-based approach for the assessment and management of ageing in major hazard establishments;Ancione;J. Loss Prev. Process. Ind.,2020

4. Smart Safety Systems: are they ready to control the hazards of major accidents?;Ansaldi,2017

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