Decision support system algorithms for main marine diesel engine failure identification
The paper proposes a comprehensive approach to solving technical maintenance problems of main marine diesel engines based on the system organization of information environment, fonnalization of data evolution procedures from the formation of primary infonnation base to the software implementation of decision support algorithms using statistical modeling methods. The decision support system for identifying malfunctions of the main engine of a large-capacity tanker makes it possible to use monitoring results and process data, evaluate the technical condition based on diagnostic and predictive procedures, automate procedures for solving operational problems for infonnation support of the operator in making optimal decisions. The developed software package provides decision support for the following technical tasks of the main engine: assessing the current technical condition and identifying faults by monitored parameters, preventing sudden and predicting gradual failures, determining inter-docking and overhaul periods.