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Dynamic reliability analysis of corroded pipeline using Bayesian Network
Nurul Sa aadah Sulaiman
*
,
Henry Tan
*
Corresponding author for this work
Engineering
University Malaysia Pahang
Research output
:
Contribution to journal
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Article
›
peer-review
1
Citation (Scopus)
6
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Dive into the research topics of 'Dynamic reliability analysis of corroded pipeline using Bayesian Network'. Together they form a unique fingerprint.
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Engineering & Materials Science
Bayesian networks
80%
Reliability analysis
79%
Pipelines
60%
Corrosion
47%
Monte Carlo methods
16%
Service life
14%
Deterioration
14%
Hydrocarbons
13%
Acoustic waves
12%
Inspection
11%
Defects
10%
Uncertainty
9%
Earth & Environmental Sciences
reliability analysis
100%
corrosion
51%
rupture
28%
prediction
15%
power law
14%
inspection
14%
leakage
14%
defect
13%
sound
12%
code
12%
hydrocarbon
10%
services
9%
method
6%
simulation
6%
comparison
6%
Medicine & Life Sciences
Corrosion
95%
Rupture
33%
Monte Carlo Method
28%
Pressure
25%
Hydrocarbons
25%
Uncertainty
18%
Reproducibility of Results
17%
Maintenance
13%
Chemical Compounds
Pipeline
91%
Corrosion
34%
Pressure
18%
Monte Carlo Method
16%
Time
11%
Hydrocarbon
11%