dc.contributor.author |
Hountalas, D |
en |
dc.date.accessioned |
2014-03-01T01:15:47Z |
|
dc.date.available |
2014-03-01T01:15:47Z |
|
dc.date.issued |
2000 |
en |
dc.identifier.issn |
1359-4311 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/13744 |
|
dc.subject |
marine |
en |
dc.subject |
diesel engine |
en |
dc.subject |
simulation |
en |
dc.subject |
fault |
en |
dc.subject.classification |
Thermodynamics |
en |
dc.subject.classification |
Energy & Fuels |
en |
dc.subject.classification |
Engineering, Mechanical |
en |
dc.subject.classification |
Mechanics |
en |
dc.subject.other |
COMBUSTION |
en |
dc.title |
Prediction of marine diesel engine performance under fault conditions |
en |
heal.type |
journalArticle |
en |
heal.identifier.primary |
10.1016/S1359-4311(00)00006-5 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1016/S1359-4311(00)00006-5 |
en |
heal.language |
English |
en |
heal.publicationDate |
2000 |
en |
heal.abstract |
The diesel engine, due to its superior efficiency when compared to other thermal engines, is widely used for propulsion of marine vessels. Since in such applications the power concentration is critical, most marine diesel engines are of the turbocharged type. Turbocharging has a serious effect on engine performance due to the interaction between the turbocharger and the engine. This interaction makes the detection of engine faults extremely difficult since a specific fault affects the turbocharger and through it the engine. For this reason various methods have been proposed for the detection of engine faults. The present author has in the past presented a method for marine diesel diagnosis by processing measured engine data using a simulation model. In the present work a completely different approach is followed an attempt is made to use a simulation model to predict marine diesel engine performance under various fault conditions, The method is applied to a newly built vessel powered by a slow speed two stroke marine diesel engine. Using the engine shop trial data obtained under propeller law the simulation model constants are determined, using an automatic method that has been developed. The comparison of results obtained with the data from the official shop trials confirms the accuracy of the model and its ability to predict almost all operating parameters of the engine. The model is then used to produce results by simulating various engine faults or faults of its subsystems. From this analysis their impact on various measurable engine parameters is determined. It is interesting to see that in the case of turbocharged engines some faults have a different effect when compared to naturally aspirated ones. Also, it is revealed that without the use of modeling in many cases it is relatively difficult to determine the actual cause for an engine malfunction, since the observed effects on engine performance are similar. The proposed method is promising and assists the engineer to understand the actual effect of various faults on engine performance. Also it can be used as a training tool since it is easy to simulate various engine faults, a procedure which is extremely difficult, if not impossible, to perform on the field. (C) 2000 Elsevier Science Ltd. All rights reserved. |
en |
heal.publisher |
PERGAMON-ELSEVIER SCIENCE LTD |
en |
heal.journalName |
APPLIED THERMAL ENGINEERING |
en |
dc.identifier.doi |
10.1016/S1359-4311(00)00006-5 |
en |
dc.identifier.isi |
ISI:000089950100004 |
en |
dc.identifier.volume |
20 |
en |
dc.identifier.issue |
18 |
en |
dc.identifier.spage |
1753 |
en |
dc.identifier.epage |
1783 |
en |