Implementation of Expert Knowledge in the Development of Diagnostic Systems for High-Speed Marine Diesel Engines

Real-time expert systems for diesel engine diagnostics would represent sophisticated software systems that compare factory values obtained by continuous measurement of the diesel engine under test with real-time data obtained from sensors on the engine. The objective of this study is to present the results of a virtual model of the observed propulsion system that can be used to diagnose and predict potential unplanned system shutdowns. The mentioned systems employ sophisticated algorithms to identify deviations from optimal operating parameters, discern potential faults or issues in engine operation, and forecast potential future malfunctions. Based on expert rules and heuristics, this part of the system utilizes the results of data analysis to draw conclusions about the engine's condition and identify potential problems or faults. The results of diagnostic analyses are presented to users through interfaces, typically in the form of graphs, tables, or alarm messages. Detailed reports on the engine's condition and maintenance recommendations are also generated. These systems could be integrated with maintenance management systems, enabling automatic generation of work orders to address identified problems and tracking of work execution. The combination of these components enables the creation of an intelligent system that continuously monitors, diagnoses, and manages diesel engine operation in real time, increasing reliability, safety, and efficiency of maritime operations.