指挥控制与仿真2024，Vol.46Issue(2)：69-77,9.DOI:10.3969/j.issn.1673-3819.2024.02.010
基于密度聚类的复杂装备健康监测方法
Method of health monitoring for complex equipment based on density clustering
余彦 1蔡霖 1张冲 1冀弘帅1
作者信息
- 1. 北京机械设备研究所, 北京 100854
- 折叠
摘要
Abstract
A density clustering-based health monitoring model for complex equipment is proposed for the complex equipment historical data which often has the characteristics of non-spherical shape.The local density and inter-class distance of each sample are estimated from the historical data,and the statistical properties of both are considered to determine the clustering center of the data.For the newly collected complex equipment health status monitoring data,if it is reachable with the density of the clustering center,the complex equipment is considered to be in a healthy state,otherwise it is in a non-healthy state.An actual complex equipment data set is analyzed by numerical simulation techniques,as well as visualization techniques such as scatter plots,box plots and parallel coordinate systems are used to verify the reliability of the calculated results,and the simulation results show that the proposed method can effectively monitor the health status of complex equipment.关键词
密度聚类/健康监测/局部密度/类间距离/平行坐标系/密度可达Key words
density clustering/health monitoring/local density/distance among classes/parallel coordinate/density ar-rived分类
军事科技引用本文复制引用
余彦,蔡霖,张冲,冀弘帅..基于密度聚类的复杂装备健康监测方法[J].指挥控制与仿真,2024,46(2):69-77,9.
