NDLI: Estimation of residual life based on vehicle tribo data

Content Provider	IEEE Xplore Digital Library
Author	Valis, D. Pokora, O.
Copyright Year	2013
Description	Author affiliation: Dept. of Combat & Special Vehicles, Univ. of Defence, Brno, Czech Republic (Valis, D.) \|\| Dept. of Math. & Stat., Masaryk Univ., Brno, Czech Republic (Pokora, O.)
Abstract	The aim of the article is to estimate a system technical life. When estimating a residual technical life statistically, a big amount of tribo-diagnostic data is used. This data serves as the initial source of information. It includes the information about particles contained in oil which testify to oil condition as well as system condition. We focus on the particles which we consider to be interesting. This kind of information has good technical and analytical potential which has not been explored well yet. By modelling the occurrence of particles in oil we expect to find out when a more adequate moment for performing preventive maintenance might come. The way of modelling is based on the specific characteristics of diffusion processes, namely the Wiener process. Following the modelling results we could in fact set the principles of “CBM - Condition Based Maintenance”. However, the possibilities are much wider, since we can also plan operation and mission. All these steps result in inevitable cost saving.
Starting Page	1427
Ending Page	1431
File Size	1859202
Page Count	5
File Format	PDF
ISBN	9781479909865
DOI	10.1109/IEEM.2013.6962646
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-10
Publisher Place	Thailand
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	first hitting time Diffusion processes Field data assessment Maintenance engineering maintenance optimization Iron off-line diagnostics residual life Reliability Mathematical model Standards Vehicles
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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