Intelligent state evaluation method of marine engine room system

Abstract

Based on system state classification and recognition, an intelligent state evaluation method was proposed for the intelligent maintenance and management in marine engine room. The method can be adopted to realize the condition-based maintenance and improve the efficiency and safety of ship operation. First, the radial basis function neural network was used to establish the state identification model of the marine engine room system to realize the state classification and identification of the system; Second, the recognized state was evaluated comprehensively by using the fuzzy analytical hierarchy process method; Finally, the validity of the results of the state identification and the fuzzy comprehensive evaluation was verified based on an actual ship system data. With the support of the system state data, the evaluation result shows a good match with the actual system state and has a high degree of credibility. On the premise of convenient data collection, the proposed method can further conduct a large-scale system state evaluation for multiple marine engine room systems. The process of the method proposed provides a new idea for the application of intelligent technology in the field of ships.