| 1 |
Operational data-driven prediction for failure rates of equipment in safety instrumented systems: A case study from the oil and gas industry
Xie L, Habrekke S, Liu YL, Lundteigen MA
Journal of Loss Prevention in The Process Industries, 60, 96, 2019 |
| 2 |
Optimal plant layout considering the safety instrumented system design for hazardous equipment
de Lira-Flores JA, Lopez-Molina A, Gutierrez-Antonio C, Vazquez-Roman R
Process Safety and Environmental Protection, 124, 97, 2019 |
| 3 |
Overcoming challenges in using layers of protection analysis (LOPA) to determine safety integrity levels (SILs)
Baybutt P
Journal of Loss Prevention in The Process Industries, 48, 32, 2017 |
| 4 |
Benefits of simple consequence modeling for Burner Management Systems
Braedel M
Journal of Loss Prevention in The Process Industries, 49, 125, 2017 |
| 5 |
New considerations for SIL verification of functional safety fieldbus communication
Ding L, Wang H, Xu AD, Li SX
Journal of Loss Prevention in The Process Industries, 43, 488, 2016 |
| 6 |
Uncertainty handling in safety instrumented systems according to IEC 61508 and new proposal based on coupling Monte Carlo analysis and fuzzy sets
Innal F, Chebila M, Dutuit Y
Journal of Loss Prevention in The Process Industries, 44, 503, 2016 |
| 7 |
A Study of Flare Load Reduction by a Safety Instrumented System based on a High Integrity Protection System
Lee I, Oh T
Process Safety Progress, 32(4), 393, 2013 |
| 8 |
Using risk tolerance criteria to determine safety integrity levels for safety instrumented functions
Baybutt P
Journal of Loss Prevention in The Process Industries, 25(6), 1000, 2012 |
| 9 |
Risk Tolerance Criteria for Layers of Protection Analysis
Baybutt P
Process Safety Progress, 31(2), 118, 2012 |
| 10 |
Reliability assessment of safety instrumented systems subject to different demand modes
Liu YL, Rausand M
Journal of Loss Prevention in The Process Industries, 24(1), 49, 2011 |
