为提升故障区域节点跟踪定位效果，为舰船安全航行提供保障，研究舰船装备电子电路故障区域节点跟踪定位方法。通过最小二乘支持向量机，延拓处理不同状态下舰船装备电子电路的原始数据；利用经验模态分解算法，在延拓处理后的数据内，提取不同状态下电子电路故障特征；通过在马氏距离内引入权值，得到改进马氏距离算法；采用改进马氏距离算法，计算提取故障特征与已知故障集间的马氏距离，依据马氏距离完成故障区域节点跟踪定位。实验证明：该方法可有效提取不同状态下，舰船装备电子电路故障特征；该方法可有效跟踪定位电子电路故障区域节点，且跟踪定位精度较高。
This paper studies the fault area node tracking and locating method of ship equipment electronic circuit, improves the tracking and locating effect of fault area node, and provides guarantee for ship safe navigation. The least squares support vector machine is used to process the original data of the electronic circuits of ship equipment in different states. The empirical mode decomposition algorithm is used to extract the fault characteristics of electronic circuits in different states from the data after extended processing. By introducing weights in the Mahalanobis distance, an improved Mahalanobis distance algorithm is obtained. The improved Mahalanobis distance algorithm is used to calculate and extract the Mahalanobis distance between the fault feature and the known fault set. Experimental results show that the proposed method can effectively extract the fault characteristics of ship equipment electronic circuits under different states. This method can track and locate the fault area node of electronic circuit effectively, and the tracking and positioning accuracy is high.
2023,45(12): 152-155 收稿日期：2023-01-20
DOI：10.3404/j.issn.1672-7619.2023.12.030
分类号：TM131
作者简介：梅杰(1983-),男,实验师,研究方向为电子信息
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