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System Condition Estimation Based on Selected Tribodiagnostic Data
Author(s) -
Vališ David,
Žák Libor,
Pokora Ondřej
Publication year - 2016
Publication title -
quality and reliability engineering international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.913
H-Index - 62
eISSN - 1099-1638
pISSN - 0748-8017
DOI - 10.1002/qre.1778
Subject(s) - residual , moment (physics) , condition based maintenance , estimation , computer science , product (mathematics) , reliability engineering , process (computing) , engineering , environmental science , mathematics , algorithm , systems engineering , physics , geometry , classical mechanics , operating system
The aim of the paper is to estimate a system‐soft failure occurrence and residual technical life. When estimating a residual technical life statistically, usually a big amount of tribodiagnostic data is used. Data include the information about particles contained in oil that testifies to oil and system conditions. We focus here on the particles that we consider to be interesting. They are ferrum (Fe) and lead (Pb) as contact degradation product. By modelling the occurrence of particles in oil, we expect to determine the expected moment for soft failure occurrence or adequate moment to perform preventive maintenance. The way of our modelling is based on the specific characteristics of diffusion processes, namely the Wiener process with positive drift and Ornstein–Uhlenbeck process. Following the modelling results, we could judge hazard rate and set‐up principles of ‘CBM ‐ Condition Based Maintenance’ (CBM). However, the possibilities are much wider, because we can also plan operation, mission and reduce life cost. Copyright © 2015 John Wiley & Sons, Ltd.