DIAGNOSTICS OF TECHNICAL STATE OF MARINE DIESEL ENGINES BASED ON DATA MINING
Operating conditions of marine diesel engines, as opposed to fixed, are characterized by instability. This is due to a number of factors specific to marine use: platform, pitching and heave; variable humidity, temperature and ambient pressure, the need for maneuvers and the associated variable loading regimes; frequent transfer to different grades of fuel: light diesel to heavy, the human factor. Taking into account the objectively existing uncertainty, incomplete and unclear information about the object in the development of knowledge base and inference of expert systems, it is advisable to use the apparatus of fuzzy logic, allowing an objective assessment of technical condition, and more than justified to take decisions on the management of marine equipment repair. The developed model of expert system of assessment and prediction of the technical state based on intelligent control taking into account the equipment failure provides the increase of economic performance, resource characteristics and the duration of overhaul period ship diesel exploitation.