2020
DOI: 10.1016/j.measurement.2020.108223
|View full text |Cite
|
Sign up to set email alerts
|

Improved condition monitoring for an FPSO system with multiple correlated components

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
4

Relationship

1
3

Authors

Journals

citations
Cited by 4 publications
(2 citation statements)
references
References 30 publications
0
2
0
Order By: Relevance
“…Takaoka et al [ 129 ] focused on the implementation of FDS on FPSOs for fatigue life consumption. Zhang et al [ 130 ] provided a statistical and artificial intelligence approach to conduct resilient condition monitoring applied to a hawsers system in a FPSO oil offloading system. Kaminski [ 131 ] described the data processing and interpretation tools to prevent the fatigue damage of FPSOs.…”
Section: Monitoring Systems In Shipping and Offshore Industrymentioning
confidence: 99%
“…Takaoka et al [ 129 ] focused on the implementation of FDS on FPSOs for fatigue life consumption. Zhang et al [ 130 ] provided a statistical and artificial intelligence approach to conduct resilient condition monitoring applied to a hawsers system in a FPSO oil offloading system. Kaminski [ 131 ] described the data processing and interpretation tools to prevent the fatigue damage of FPSOs.…”
Section: Monitoring Systems In Shipping and Offshore Industrymentioning
confidence: 99%
“…The serious causes of failure are O1 (processor hardware damage, 1.15%), O2 (circuit failure, 1.16%), and T1 (display the IPC part of the board damage, 1.18%). In general, BeiDou positioning system units are not prone to problems [35] (the BeiDou navigation system is the responsibility of the state and has a low probability of failure).…”
Section: Critical Failure Cause Analysismentioning
confidence: 99%