Degradation Assessment of Drilling Head based on Stochastic Growth Models and Continuous Time Diffusion Processes
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F22%3A43922710" target="_blank" >RIV/62156489:43110/22:43922710 - isvavai.cz</a>
Výsledek na webu
<a href="https://doi.org/10.1109/IEEM55944.2022.9989766" target="_blank" >https://doi.org/10.1109/IEEM55944.2022.9989766</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/IEEM55944.2022.9989766" target="_blank" >10.1109/IEEM55944.2022.9989766</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Degradation Assessment of Drilling Head based on Stochastic Growth Models and Continuous Time Diffusion Processes
Popis výsledku v původním jazyce
Degradation is a phenomenon which necessarily accompanies the operation of every mechanical system. The monitoring of the degradation level is not simple, since it is not always possible to track the wear directly. Therefore the degradation is sometimes examined by applying indirect measures. In our article we study the degradation of a mining drilling machine. We focus on the wear level of cutting tools. We have the data records about the operation of this machine. Using selected stochastic growth models, we study the trend in the development of cutting tools wear. These models provide us with the key parameters of the trend - a mean value, a variance, and standard deviation, which we later use in specific diffusion models. Applying these diffusion models, we examine the trajectories of the degradation wear, up to the possible moment of the first hitting time (FHT). This moment is the point when a cutting tool reaches its critical level. Although this does not necessarily lead to the occurrence of a hard failure but a soft failure, it significantly aggravates the operation properties of a system.
Název v anglickém jazyce
Degradation Assessment of Drilling Head based on Stochastic Growth Models and Continuous Time Diffusion Processes
Popis výsledku anglicky
Degradation is a phenomenon which necessarily accompanies the operation of every mechanical system. The monitoring of the degradation level is not simple, since it is not always possible to track the wear directly. Therefore the degradation is sometimes examined by applying indirect measures. In our article we study the degradation of a mining drilling machine. We focus on the wear level of cutting tools. We have the data records about the operation of this machine. Using selected stochastic growth models, we study the trend in the development of cutting tools wear. These models provide us with the key parameters of the trend - a mean value, a variance, and standard deviation, which we later use in specific diffusion models. Applying these diffusion models, we examine the trajectories of the degradation wear, up to the possible moment of the first hitting time (FHT). This moment is the point when a cutting tool reaches its critical level. Although this does not necessarily lead to the occurrence of a hard failure but a soft failure, it significantly aggravates the operation properties of a system.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
20101 - Civil engineering
Návaznosti výsledku
Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2022
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)
ISBN
978-1-66548-688-0
ISSN
—
e-ISSN
—
Počet stran výsledku
5
Strana od-do
487-491
Název nakladatele
IEEE-Institute of Electrical Electronics Engineers
Místo vydání
Piscataway
Místo konání akce
Kuala Lumpur
Datum konání akce
7. 12. 2022
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
—