船舶技术状态评估方法研究状况概述

  目的  针对船舶机舱智能化的发展需求，为了预判系统设备的潜在失效因素，提出一种适用于船舶系统健康状态评估的新型AEC模型。  方法  首先，将改进层次分析法（AHP）与熵权法（EWM）的优势相结合，形成组合赋权法来确定各项评估指标的综合权重；然后，采用云重心评判法（CGCEM）计算加权偏离度，并对系统健康状态进行评估。  结果  实船燃油供给系统的验证结果表明：实测运行数据的加权偏离度计算结果为0.181 5，隶属于（0，0.33）区间，这与实船的健康运行状态一致。  结论  AEC模型可以较准确地评估船舶燃油供给系统的健康状态，可为智能船舶的状态评估和维护保养辅助决策提供参考。

Summary of research on ship technical condition evaluation methods

  Objectives  In view of the development demand of intelligent engine room of ships, in order to uncover the potential failure factors of equipment in advance, a new AEC health state evaluation model suitable for the ship's system and equipment is proposed.  Methods   This model combines the improved analytic hierarchy process (AHP) and entropy weight method (EWM) to form a combined weight method to determine the comprehensive weight of each evaluation index, and then the cloud gravity center evaluation method (CGCEM) is used to evaluate the health status of the research object based on the weight of each evaluation index.  Results  The proposed model is verified by the actual operation data of the fuel supply system on the ship, and the calculation results show that the weighted deviation degree of the actual operation data is 0.181 5, which belongs to the interval (0, 0.33) and is in a healthy state, which is consistent with the facts.  Conclusions   It indicates that the AEC evaluation model can accurately evaluate the health status of the fuel supply system and has certain practical application values in the intelligent ship status evaluation and maintenance decision-making .