The Marine Diesel: Recent Design Developments

1979 ◽  
Vol 16 (02) ◽  
pp. 119-135
Author(s):  
Jan Arie Smit
Keyword(s):  
Diesel Engine ◽  
Noise Analysis ◽  
Diagnostic System ◽  
Design Principles ◽  
Transport Systems ◽  
Maintenance Costs ◽  
Transport Efficiency ◽  
Marine Transport ◽  
Marine Diesel ◽  
Engine Development

A survey of diesel engine development since the introduction of turbocharging, welded design, and heavy fuel illustrates the continuation of the design principles, describing component details. The engine range and application require some adaption to the demands of changing marine transport systems, in view of space, horsepower, and vibration. The effect of the diesel engine on the environment can be kept within today's accepted requirements with respect to emission and noise. Analysis of cost trends shows where the diesel engine with improved application design can improve overall transport efficiency. The introduction of a computerized engine diagnostic system shows the way to improve running efficiency, reduce maintenance costs, and prevent major damage after accidental breakdowns.

scholarly journals The Use of Expert System for Marine Diesel Engine Diagnosis

2009 ◽  
Vol 9-10 (1) ◽  
pp. 45-56
Author(s):  
Adam Charchalis ◽  
Rafał Pawletko
Keyword(s):  
Expert System ◽  
Diesel Engine ◽  
Knowledge Acquisition ◽  
Data Base ◽  
Diagnostic System ◽  
Basic Knowledge ◽  
Marine Diesel Engine ◽  
Data Set ◽  
Sources Of Knowledge ◽  
Marine Diesel

The Use of Expert System for Marine Diesel Engine Diagnosis The paper presents a diagnostic system for marine diesel engine based on an expert system model. The research relevant to knowledge acquisition for this system was done, knowledge data set was built and general structures of the expert system was proposed. Basic sources of knowledge which can be used for construction of knowledge data set are also identified. The basic knowledge related to the diesel diagnostic was undertaken from experts and diagnostic data base. The paper questionnaire was used to the knowledge acquisition from experts. The basic knowledge related to the marine diesel exploitation was undertaken. The rule induction algorithms was used to knowledge acquisition from data base. During the experiment efficiency of LEM induction algorithms was compared to new MODLEM and EXPLORE algorithms. Training and test data were acquired from experiment on marine engine Sulzer 3AL 25/30.

scholarly journals New Diagnostic System of Marine Diesel Engine by Aconstic Sound

1991 ◽  
Vol 26 (5) ◽  
pp. 226-231
Author(s):  
Takeshi Katagi ◽  
Kenjiro Inamoto ◽  
Kuniyuki Matsushita ◽  
Kenichi Hirabayashi ◽  
Takeshi Hashinoto
Keyword(s):  
Diesel Engine ◽  
Diagnostic System ◽  
Marine Diesel Engine ◽  
Marine Diesel

scholarly journals New Method for Building Vector of Diagnostic Signs to Classify Technical States of Marine Diesel Engine by Torsional Vibrations on Shaft-Line

2021 ◽  
Vol 2 (2) ◽  
Author(s):  
Do Duc Luu ◽  
Cao Duc Hanh ◽  
Nguyen Xuan Tru
Keyword(s):  
Diesel Engine ◽  
Dimensional Space ◽  
Diagnostic System ◽  
Simulation Software ◽  
Technical State ◽  
New Method ◽  
Shaft Line ◽  
Marine Diesel ◽  
Diagnostic Signs ◽  
Space Coordinate

Vector of diagnostic signs (VDS) using torsional vibration (TV) signal on the main propulsion plant (MPP) is the vector of z maxima (or minima) values of the TV signal in accordance with the cylinder firing orders. The technical states of the main diesel engine (MDE) include R= z+1 classes and are presented in z-dimensional space coordinate of VDS. The presentation of Dk, k=1÷R using z diagnostic signs (Vi, i=1÷z) is nonfigurative and quite complicated. This paper aims to develop a new method for converting VDS from z-dimensional to 2-dimensional space (two-axes) based on working angle  of a cylinder. The new vector of diagnostic signs VN is constructed as the geometrical grand total of all VDS:, where; ;  and. The proposed model is useful for presenting a technical state Dk in two-dimensional space (x, y) in a visualization way. The algorithm and simulation software are designed for the DME 6S46-MCC, installed on the motor vessel (MV) 34000DWT. The R technical state classes are drawn separately and visually in the Descartes. The received results are valuable to improve smart diagnostic system for analyzing normal/misfire states of cylinders in operation regimes

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