engleski

Marine diesel engine faults diagnosis based on observed symptoms and expert knowledge

The papers deals with two methods of fault detection and isolation in ship's propulsion diesel engine. The first diagnosis method is based on real-time diagnostic signals i.e. symptoms and their relation to faults in anextended form with tracking times of symptoms occurence. The effectiveness of this method has been evaluated with concurrently simulating two very similar engine cylinder faults. The second diagnosis method introduced in the paper based on human expert heuristic knowledge showed very good results in diagnosis the same engine fault. In both simulation examples, in a certain way, a form of integration of these two methods is used. The hybrid method based on good monitoring system and heuristic knowledge base could become more attractive in marine applications.

Fault diagnosis; fault detection; fault identification; diagnosis signals; symptoms; rule-based system; expert knowledge

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