Dynamic risk analysis using alarm databases to improve process safety and product quality: Part II-Bayesian analysis

AIChE Journal

Volumn 58, Issue 3, 2012, Pages 826-841

  Pariyani, Ankur ^a   Seider, Warren D ^a   Oktem, Ulku G ^b   Soroush, Masoud ^c  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

^b UNIVERSITY OF PENNSYLVANIA   (United States)

^c Drexel University   (United States)

Author keywords

Abnormal events; Bayesian theory; Copulas; Monte Carlo simulation; Near misses; Petroleum refinery; Probabilistic risk analysis; Process safety; Product quality; Unsafe incidents

Indexed keywords

ABNORMAL EVENTS; BAYESIAN THEORY; COPULAS; MONTE CARLO SIMULATION; NEAR-MISSES; PROBABILISTIC RISK ANALYSIS; PROCESS SAFETY; PRODUCT QUALITY; UNSAFE INCIDENTS;

DISTRIBUTED PARAMETER NETWORKS; ELECTROSTATIC DEVICES; ELECTROSTATIC DISCHARGE; FLUID CATALYTIC CRACKING; FLUIDIZATION; INTELLIGENT SYSTEMS; PETROLEUM REFINERIES; SECURITY OF DATA;

QUALITY CONTROL;

EID: 84856601354     PISSN: 00011541     EISSN: 15475905     Source Type: Journal    
DOI: 10.1002/aic.12642     Document Type: Article

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