Health Assessment Method of the Aircraft Hydraulic System Based on Gray Clustering
作者单位：School of Automation Shenyang Aerospace University College of Northern Science and Technology Shenyang Aerospace University Shenyang Aeroengine Research Institute
会议名称：《第25届中国控制与决策会议》
主办单位：IEEE;NE Univ;IEEE Ind Elect Chapter;IEEE Harbin Sect Control Syst Soc Chapter;Guizhou Univ;IEEE Control Syst Soc;Syst Engn Soc China;Chinese Assoc Artificial Intelligence;Chinese Assoc Automat;Tech Comm Control Theory;Chinese Assoc Aeronaut;Automat Control Soc;Chinese Assoc Syst Simulat;Simulat Methods & Modeling Soc;Intelligent Control & Management Soc
会议日期：2013年
学科分类：08[工学] 082501[工学-飞行器设计] 0825[工学-航空宇航科学与技术]
基 金：supported by the Aeronautic Science Foundation of China (ID2010ZD54012) the Defense Industrial Technology Development Program of China (IDA0520110023) and the Defense Technology
关 键 词：PHM Aircraft Hydraukics Health State Evaluation Grey Clustering
摘 要：In connection with the problem which is difficult to be accurately assess the present health status of the aircraft hydraulic system, in this paper, a gray cluster analysis method has been put forward and used to comprehensively assess the health status of the aircraft hydraulic system. Firstly, according to the expertise to rate for the key components of the aircraft hydraulic system. Then it uses and relies on piecewise linear function to determine the whitening weight function. At last it uses the gray clustering algorithm to accurately assess the health status of the aircraft hydraulic system （divided into five levels: health, sub-health, available, fault, scrap）. And it uses a case to verify the accuracy of the assessment methods. And it has a good application value for the maintenance and security of the aircraft hydraulic system.