NDLI: Health assessment method of the aircraft hydraulic system based on gray clustering

Content Provider	IEEE Xplore Digital Library
Author	Jianguo Cui Zeli Lin Liying Jiang Yiwen Qi Fengxia Ma Xin Jin
Copyright Year	2013
Description	Author affiliation: Sch. of Autom., Shenyang Aerosp. Univ., Shenyang, China (Jianguo Cui; Zeli Lin; Liying Jiang; Yiwen Qi) \|\| Coll. of Northern Sci. & Technol., Shenyang Aerosp. Univ., Shenyang, China (Fengxia Ma) \|\| Shenyang Aeroengine Res. Inst., Shenyang, China (Xin Jin)
Abstract	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.
Sponsorship	IEEE Control Syst. Soc.
Starting Page	4701
Ending Page	4705
File Size	200382
Page Count	5
File Format	PDF
ISBN	9781467355339
e-ISBN	9781467355346
DOI	10.1109/CCDC.2013.6561784
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-05-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Health State Evaluation PHM Hydraulic systems Maintenance engineering Grey Clustering Lubricating oils Indexes Aircraft Prognostics and health management Monitoring Aircraft Hydraukics
Content Type	Text
Resource Type	Article

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