Logic‐based probabilistic network model to detect and track faults in a process system-Reference-Cited by-同舟云学术

Logic‐based probabilistic network model to detect and track faults in a process system

Published:2019-11-25 Issue:S1 Volume:39 Page:
ISSN:1066-8527
Container-title:Process Safety Progress
language:en
Short-container-title:Proc Safety Prog

Author:

Tahoon Amr Ibrahim¹^ORCID,Rusli Risza¹,Khan Faisal²^ORCID,Zainal Abidin Mardhati¹

Affiliation:

1. Centre of Advanced Process Safety (CAPS), Chemical Engineering Department Universiti Teknologi Petronas Perak Darul Ridzuan Malaysia

2. Centre for Risk, Integrity and Safety Engineering (C‐RISE), Faculty of Engineering and Applied Science Memorial University St John's Newfoundland and Labrador Canada

Publisher

Wiley

Subject

Safety, Risk, Reliability and Quality,General Chemical Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/prs.12110

Reference30 articles.

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4. Lessons Learned from Toulouse and Buncefield Disasters: From Risk Analysis Failures to the Identification of Atypical Scenarios Through a Better Knowledge Management

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