AUTOMATED REAL-TIME MARINE ENGINE DIAGNOSTICS SYSTEMS

Abstract

The increase in thermal stress and the complexity of marine diesel engine design increase the need for quick, accurate control of their technical condition during operation. The transition of the fleet to operation with minimal stops makes traditional periodic diagnostic methods insufficient, as they do not allow for timely responses to changes in the working process parameters. The purpose of the work is to substantiate the concept of an automated system for diagnosing marine diesel engines that provides prompt determination of deviations in the technical condition by analyzing key parameters of the working process. The work uses methods of systematizing scientific sources, comparative analysis of diagnostic approaches, and generalization of theoretical provisions relating to indicator, parametric, and predictive algorithms. Additional attention is paid to the potential of intelligent models to improve anomaly identification accuracy. It is shown that the most informative parameters for real-time diagnostics are the maximum combustion pressure, exhaust gas temperature, and cyclic unevenness, which respond first to changes in fuel supply or wear of the cylinder-piston group. The advantages and limitations of indicator, parametric and intelligent methods are analyzed, and the feasibility of their combination is determined. Recommendations are made for the architecture of the diagnostic system, which involves integrating the primary measurement unit, algorithms for determining the top dead center position, parametric models, and intelligent prediction modules. The conclusions confirm the practical applicability of the results when designing on-board technical condition monitoring systems, optimizing operational maintenance, and increasing the safety of fleet operations. Further research should be directed at adapting mathematical models to non-stationary modes, improving methods for determining the gas distribution phases and integrating additional diagnostic channels, in particular vibroacoustic ones.