Knowledge Acquisition and Management for Marine Diesel Engine Diagnosis

Adam Charchalis; Rafał Pawletko

doi:10.4028/www.scientific.net/SSP.199.43

Paper Titles

Diagnostics Problems and Decisions of Low Rotation Speed Rotors with Antifriction Bearings
p.15

Estimation of External Forces in the Rotating System with an Active Magnetic Suspension
p.21

Fundamental Laws of Rolling-Element Bearing Mechanics and Diagnostic Methods FAM-C and FDM-A
p.27

Identification of Operational Damages of Air-Turbine Engines Using Visual Diagnostics
p.33

Knowledge Acquisition and Management for Marine Diesel Engine Diagnosis
p.43

Mining for Knowledge to Build Decision Support System for Treatment of Plano-Valgus
p.49

Modular System for Testing the Stability and Safety of Specialised Height Rescue Vehicles
p.55

Studies of the Modelling Accuracy of Steam Turbine Control Systems for Diagnostic Tests of Automatic Synchronizers
p.61

The Influence of Diagnostic Signal Measurement Period on Blades Technical Condition Images Determined from Phase Shift Difference
p.67

HomeSolid State PhenomenaSolid State Phenomena Vol. 199Knowledge Acquisition and Management for Marine...

Knowledge Acquisition and Management for Marine Diesel Engine Diagnosis

Abstract:

The paper presents the research relevant to knowledge acquisition for marine diesel engine diagnosis. Basic sources of knowledge which can be used for construction of diagnostics knowledge base are identified. The basic knowledge related to the diesel diagnostic was undertaken from experts and from diagnostic database. The paper questionnaire was used to the knowledge acquisition from experts [. With the paper questionnaire the basic knowledge related to the marine diesel exploitation was undertaken. The rule induction algorithms was used to knowledge acquisition from diagnostic database [. Training and test data were acquired from experiment on marine engine Sulzer 3AL 25/30. The paper proposes the original system of knowledge management for the marine diesel engine diagnosis. The system allows the collection of knowledge from different sources, its evaluation and update.

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Periodical:

Solid State Phenomena (Volume 199)

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43-48

DOI:

https://doi.org/10.4028/www.scientific.net/SSP.199.43

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Online since:

March 2013

Authors:

Adam Charchalis, Rafał Pawletko

Keywords:

Expert System, Marine Diesel Engines Diagnosis, Technical Diagnostic

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