Abstract
This paper scopes to provide a suggestion on the maintenance outline as perceived from the evaluation of an extended literature review on marine engineering systems and applications sourced from research and
industrial studies. The present research contributes in the creation and initial implementation of a probabilistic multi-component prognostic Condition Monitoring model for ship machinery and equipment maintenance
scheduling. Systems involved include engine internal and external components, starting, cooling, and lubrication and control monitoring systems. The overall reliability performance of these sub-systems and the entire Main
Engine’s is suggested. Moreover, this paper will present the components and failure types’ layout arrangement of engine internal and external sub-systems as well as the overall reliability performance of the sub-systems
industrial studies. The present research contributes in the creation and initial implementation of a probabilistic multi-component prognostic Condition Monitoring model for ship machinery and equipment maintenance
scheduling. Systems involved include engine internal and external components, starting, cooling, and lubrication and control monitoring systems. The overall reliability performance of these sub-systems and the entire Main
Engine’s is suggested. Moreover, this paper will present the components and failure types’ layout arrangement of engine internal and external sub-systems as well as the overall reliability performance of the sub-systems
| Original language | English |
|---|---|
| Number of pages | 9 |
| Publication status | Published - 6 Jul 2014 |
| Event | ICMT 2014 - University of Strathclyde, Glasgow, United Kingdom Duration: 7 Jul 2014 → 9 Jul 2014 http://www.icname.org/show.asp?id=28 |
Conference
| Conference | ICMT 2014 |
|---|---|
| Abbreviated title | ICMT 2014 |
| Country/Territory | United Kingdom |
| City | Glasgow |
| Period | 7/07/14 → 9/07/14 |
| Internet address |
Keywords
- probabilistic risk assessment of condition monitoring of
- diesel engines
- marine
- main engine
- components
- reliability
- condition monitoring
- maintenance
- probability
- failure
