OVERVIEW OF MODERN TRENDS IN THE DEVELOPMENT OF MARINE DIESEL ENGINE PERFORMANCE DIAGNOSTIC SYSTEMS

Abstract

Introduction. This paper explores the contemporary challenges and advancements in the performance diagnostic systems based on working process parameters of marine diesel internal combustion engines. Amid increasing demands for efficiency, reliability, and safety in maritime diesel engines, the necessity of implementing advanced performance diagnostic technologies, especially those functioning in real-time, is emphasized. These systems enable the rapid identification of operational parameter changes in diesel engines, allowing operators to quickly detect and address potential malfunctions. The aim of this study is to examine the existing performance diagnostic systems based on working process parameters for marine diesel internal combustion engines, to analyze their advancements and limitations, and to identify key directions for their improvement. Indeed, diagnosing and refining the working process characteristics of an engine represents a strategy to enhance the efficiency of diesel engines, laying the groundwork for the equipment’s reliability and longevity. Through the analysis of indicator diagrams of gas pressure in the working cylinders, optimal operating load modes and engine diagnostics are determined. This approach provides a precise evaluation of the working process parameters and the identification of any anomalies that could lead to malfunctions. As a result, it contributes to improved fuel efficiency, reduced emissions harmful to the environment, and prolonged service life of marine engines. The article reviews both historical and contemporary performance diagnostic systems, presenting various approaches to the parametric diagnostics and optimization of diesel engines’ working processes. Owing to the high accuracy and timeliness of the data obtained, real-time systems ensure effective monitoring and management of the engine’s condition during operation. The paper also examines and contrasts some stationary performance diagnostic systems which, despite their effectiveness, exhibit certain limitations. In conclusion, despite the prevalent use of stationary real-time performance monitoring systems, there exists an urgent need for the development of mobile systems capable of operating efficiently and swiftly. The absence of such innovative solutions highlights the potential for future scientific research in this area.