Engine residual technical life estimation based on tribo data

J 2014

Engine residual technical life estimation based on tribo data

VALIŠ, David, Libor ŽÁK a Ondřej POKORA

Základní údaje

Originální název

Engine residual technical life estimation based on tribo data

Autoři

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

Vydání

Eksploatacja i Niezawodnosc – Maintenance and Reliability, 2014, 1507-2711

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

10103 Statistics and probability

Stát vydavatele

Polsko

Utajení

není předmětem státního či obchodního tajemství

Impakt faktor

Impact factor: 0.983

Kód RIV

RIV/00216224:14310/14:00076267

Organizační jednotka

Přírodovědecká fakulta

UT WoS

000333335200006

Klíčová slova anglicky

Field data assessment; off-line diagnostics; first hitting time; residual life; maintenance optimization

Štítky

AKR

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 13. 3. 2018 16:08, Mgr. Ondřej Pokora, Ph.D.

Anotace

V originále

The aim of the paper 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 and valuable. 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 appropriate moment for performing preventive maintenance might come. The way of modelling and further estimation is based on the specific characteristics of a regression analysis, fuzzy logic and 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 in service operation and mission. All these steps result in inevitable cost saving which we would like to contribute to.

Citovat

VALIŠ, David, Libor ŽÁK a Ondřej POKORA. Engine residual technical life estimation based on tribo data. Eksploatacja i Niezawodnosc – Maintenance and Reliability. 2014, roč. 16, č. 2, s. 203-210. ISSN 1507-2711.

@article{1196397,
   author = {Vališ, David and Žák, Libor and Pokora, Ondřej},
   article_number = {2},
   keywords = {Field data assessment; off-line diagnostics; first hitting time; residual life; maintenance optimization},
   language = {eng},
   issn = {1507-2711},
   journal = {Eksploatacja i Niezawodnosc – Maintenance and Reliability},
   title = {Engine residual technical life estimation based on tribo data},
   volume = {16},
   year = {2014}
}

TY  - JOUR
ID  - 1196397
AU  - Vališ, David - Žák, Libor - Pokora, Ondřej
PY  - 2014
TI  - Engine residual technical life estimation based on tribo data
JF  - Eksploatacja i Niezawodnosc – Maintenance and Reliability
VL  - 16
IS  - 2
SP  - 203-210
EP  - 203-210
SN  - 15072711
KW  - Field data assessment
KW  - off-line diagnostics
KW  - first hitting time
KW  - residual life
KW  - maintenance optimization
N2  - The aim of the paper 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 and valuable. 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 appropriate moment for performing preventive maintenance might come. The way of modelling and further estimation is based on the specific characteristics of a regression analysis, fuzzy logic and 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 in service operation and mission. All these steps result in inevitable cost saving which we would like to contribute to.
ER  -

VALIŠ, David, Libor ŽÁK a Ondřej POKORA. Engine residual technical life estimation based on tribo data. \textit{Eksploatacja i Niezawodnosc – Maintenance and Reliability}. 2014, roč.~16, č.~2, s.~203-210. ISSN~1507-2711.

Podrobný výpis o publikaci