NDLI: System maintenance drive simulation method in intermittent operations under PHM supervision

Content Provider	IEEE Xplore Digital Library
Author	Yiqian Cui Junyou Shi Zili Wang Jiazhen Feng
Copyright Year	2012
Description	Author affiliation: School of Reliability and System Engineering, Beihang University, Weimin Building, 37 Xueyuan Road, Haidian District, Beijing 100191 China (Yiqian Cui; Junyou Shi; Zili Wang; Jiazhen Feng)
Abstract	Prognosis and Health Management (PHM) has exerted a profound impact on the integrated maintenance and support system. By monitoring the fault evolution of the parts or components, the potential fault could be predicted, and the corresponding maintenance and support decisions could be deducted. PHM has transferred the traditional maintenance mode to the Condition-based Maintenance (CBM). In order to validate the availability and the effectiveness of the integrated maintenance and support system, the computer simulation method is widely used. The maintenance drive serves as the starting point of a new cycle of maintenance and support activity in the object-oriented simulation model. Traditional simulations based on the system failure rate or mean time between failures (MTBF) would not ensure an accurate result when PHM functions. This paper makes a discussion on that problem. The concept of fault evolution index (FEI) is put forth in the paper, and several intermittent FEI evolution models are given for simulation reference. In addition, the paper gives a detailed process of modeling and simulating the maintenance drive.
Starting Page	1
Ending Page	8
File Size	1459654
Page Count	8
File Format	PDF
ISBN	9781457719097
ISSN	21665656
e-ISBN	9781457719110
e-ISBN	9781457719103
DOI	10.1109/PHM.2012.6228940
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-05-23
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Prognosis and Health Management Analytical models Feature extraction Iron Cognition Intermittent operations Fault Evolution Index Sensors Maintenance Drive Prognostics and health management Monitoring
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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