System Condition Estimation Based on Selected Tribodiagnostic
Data

J 2016

System Condition Estimation Based on Selected Tribodiagnostic Data

VALIŠ, David, Libor ŽÁK a Ondřej POKORA

Základní údaje

Originální název

System Condition Estimation Based on Selected Tribodiagnostic Data

Autoři

VALIŠ, David (203 Česká republika), Libor ŽÁK (203 Česká republika) a Ondřej POKORA (203 Česká republika, garant, domácí)

Vydání

Quality and Reliability Engineering International, WILEY-BLACKWELL, 2016, 0748-8017

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

20306 Audio engineering, reliability analysis

Stát vydavatele

Spojené státy

Utajení

není předmětem státního či obchodního tajemství

Impakt faktor

Impact factor: 1.366

Kód RIV

RIV/00216224:14310/16:00089060

Organizační jednotka

Přírodovědecká fakulta

DOI

http://dx.doi.org/10.1002/qre.1778

UT WoS

000370273700024

Klíčová slova anglicky

field data assessment; off-line diagnostics; first-hitting time; system residual technical life; maintenance optimisation; diffusion processes

Štítky

AKR

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 13. 3. 2018 15:51, Mgr. Ondřej Pokora, Ph.D.

Anotace

V originále

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.

Citovat

VALIŠ, David, Libor ŽÁK a Ondřej POKORA. System Condition Estimation Based on Selected Tribodiagnostic Data. Quality and Reliability Engineering International. WILEY-BLACKWELL, 2016, roč. 32, č. 2, s. 635-645. ISSN 0748-8017. Dostupné z: https://dx.doi.org/10.1002/qre.1778.

@article{1297379,
   author = {Vališ, David and Žák, Libor and Pokora, Ondřej},
   article_number = {2},
   doi = {http://dx.doi.org/10.1002/qre.1778},
   keywords = {field data assessment; off-line diagnostics; first-hitting time; system residual technical life; maintenance optimisation; diffusion processes},
   language = {eng},
   issn = {0748-8017},
   journal = {Quality and Reliability Engineering International},
   title = {System Condition Estimation Based on Selected Tribodiagnostic Data},
   volume = {32},
   year = {2016}
}

TY  - JOUR
ID  - 1297379
AU  - Vališ, David - Žák, Libor - Pokora, Ondřej
PY  - 2016
TI  - System Condition Estimation Based on Selected Tribodiagnostic Data
JF  - Quality and Reliability Engineering International
VL  - 32
IS  - 2
SP  - 635-645
EP  - 635-645
PB  - WILEY-BLACKWELL
SN  - 07488017
KW  - field data assessment
KW  - off-line diagnostics
KW  - first-hitting time
KW  - system residual technical life
KW  - maintenance optimisation
KW  - diffusion processes
N2  - 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.
ER  -

VALIŠ, David, Libor ŽÁK a Ondřej POKORA. System Condition Estimation Based on Selected Tribodiagnostic Data. \textit{Quality and Reliability Engineering International}. WILEY-BLACKWELL, 2016, roč.~32, č.~2, s.~635-645. ISSN~0748-8017. Dostupné z: https://dx.doi.org/10.1002/qre.1778.

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