2018
DOI: 10.4236/ojsst.2018.82003
|View full text |Cite
|
Sign up to set email alerts
|

Application of Probabilistic Model for Marine Steam System Failure Analysis under Uncertainty

Abstract: In ship and offshore operations, machinery systems have associated operational hazard because of the prevailing harsh environment. Therefore, the need for an overall evaluation of the associated risk and failures of these systems, such as the marine steam boiler, is crucial to the industry. The concept of probability risk model is used to model the failure mode considering the overall risk associated with the system as a whole. The rate of occurrence of the failure that described the basic events as represente… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
4
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
4

Relationship

1
3

Authors

Journals

citations
Cited by 4 publications
(4 citation statements)
references
References 13 publications
0
4
0
Order By: Relevance
“…• Following the company's Planned Maintenance System (PMS) and the International Safety Management (ISM) code to the letter. [36] Ventilation problem…”
Section: Resultsmentioning
confidence: 99%
See 2 more Smart Citations
“…• Following the company's Planned Maintenance System (PMS) and the International Safety Management (ISM) code to the letter. [36] Ventilation problem…”
Section: Resultsmentioning
confidence: 99%
“…Examples include the failure of auto combustion control (ACC), explosions on the fireside, loss of power sources, water leakage due to tube bends or cracks, abnormal increases in pressure, and overheating. Overheating, often the primary cause of boiler damage or explosions, results from low water levels, typically caused by the failure of automatic controls [36].…”
Section: Explosions In Auxiliary Boilermentioning
confidence: 99%
See 1 more Smart Citation
“…The associated uncertainty in complex system data gathering and model application require a high performing and dynamic model for failure analysis of the marine renewable energy systems. To quantify the associated uncertainty in model analysis and prediction for the offshore energy system, Adumene and Nitonye 15 and Scheu et al 16 proposed a statistical and probabilistic tool for parametric analysis of failure characteristics. The proposed methodology captures the spatial variability associated with failure data and associated probability distribution for the failure characteristic parameters.…”
Section: Introductionmentioning
confidence: 99%