ANALYSIS OF EXISTING METHODS FOR DIAGNOSTIC OF SHIP PUMPS

Abstract

The reliability of the operation of ship auxiliary systems directly depends on the effectiveness of the diagnostics of pumping equipment, which provides fluid circulation, cooling, lubrication, fuel pumping and other technological processes. The relevance of the study is due to the implementation of autonomous shipping concepts and the need for predictive maintenance. The purpose of the article is a systematic analysis of existing methods for diagnosing ship pumps, determining their advantages and limitations in marine operation, as well as the formation of applied recommendations for increasing the efficiency of technical monitoring of pumping equipment. The research methodology provided for a critical review of the literature, classification and comparative analysis of diagnostic methods according to the criteria of accuracy, efficiency, adaptability and integration into ship systems. Both traditional (vibration, thermal, parametric control) and modern approaches were considered, in particular, artificial intelligence methods. The results of the study showed that none of the methods is universal: each has limitations in accuracy or adaptability to marine conditions. The most promising is a combined approach using multi-sensor monitoring and adaptive analysis algorithms.The implementation of continuous monitoring based on IoT technologies, the development of diagnostic regulations and the formation of databases of diagnostic features are proposed, which will allow for an increase in the level of preventive maintenance. The practical value of the results lies in the possibility of their use in the development of ship maintenance systems, the modernization of fleet standards and the training of ship mechanics. The scientific novelty of the article lies in the targeted focus on pumping equipment as an object of diagnostics and in identifying areas for standardization, integration and intellectualization of monitoring systems. The proposed approaches can be used as the basis for further research on the creation of digital models of the technical condition of pumps as part of ship auxiliary installations.