Assessment of Engine Deterioration Based on Oil Fe Data

Author:

Valis David1,Zak Libor2,Walek Agata2

Affiliation:

1. University of Defence

2. Brno University of Technology

Abstract

Nowadays system requirements are set up and evaluated in various manners. When determining an item technical state, there are many options available. However, in order to specify the state and the condition of a system, we choose one off-line approach. The paper deals with mathematical processing, monitoring and analyzing oil field data. Such data comes from the laser spectrography within tribodiagnostic oil tests. When analyzing oil data, we apply mathematical methods based on the analyses and calculations of time series. It is expected to get the results which will help to improve maintenance policy, life cycle costing and operations. Due to the fact that the data sample has been classified as fuzzy and uncertain, the FIS (Fuzzy Inference System) is used.

Publisher

Trans Tech Publications, Ltd.

Reference15 articles.

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3. M. Koucky, D. Valis, Suitable approach for non-traditional determination of system health and prognostics. Zeszyty naukowe, Styczen – Marzec, Vol. 1, No 159, pp.123-134. ISSN 1731 – 8157, (2011).

4. M. Koucky, D. Valis, Deterioration Dependability Diagnostics. Revised by J. Čáp, V. Píštěk, F. Pešlová. Brno : handsdesign, Section II., Diagnostics – on approaches for non-destructive diagnostics, pp.77-86. ISBN 978-80-254-8377-0, (2010).

5. J. Lippay, Tribological diagnostics of heavy of road lorries Tatra 815 engines which operate with OA-M6 ADS II oil. Inauguration Thesis, Brno: Military Academy, 1991. In Czech.

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