Reliability Assessment of Mining System Based on Time Mining Data
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F19%3A43917701" target="_blank" >RIV/62156489:43110/19:43917701 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/60162694:G43__/19:00555309
Výsledek na webu
<a href="https://dx.doi.org/10.1109/IEEM44572.2019.8978596" target="_blank" >https://dx.doi.org/10.1109/IEEM44572.2019.8978596</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/IEEM44572.2019.8978596" target="_blank" >10.1109/IEEM44572.2019.8978596</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Reliability Assessment of Mining System Based on Time Mining Data
Popis výsledku v původním jazyce
The degradation of mechanical systems is a typical phenomenon accompanying most systems. When considering dependability, safety and cost-effectiveness, the degradation may result in serious consequences. Direct advancing degradation in all technical systems is not easy to observe. In order to do so, related information is used, e.g. the study of diagnostic and operation measures-signals. This article presents a study of the deterioration of a mining head with multi-tool knives. There is a dataset containing the records of the drilling head behaviour in standard operation. The records contain typical operation characteristics such as moment and power for both sharp and blunt knives. Degradation modelling of the studied mining head knives is performed with stochastic continuous diffusion processes. They are Pearson type, Gauss-Markov type and Levy type processes. The achieved results are expected to be used for the observation of i) the first passage time of degradation critical value), ii) the prediction of residual useful life, and iii) the rationalization of in field operation and maintenance.
Název v anglickém jazyce
Reliability Assessment of Mining System Based on Time Mining Data
Popis výsledku anglicky
The degradation of mechanical systems is a typical phenomenon accompanying most systems. When considering dependability, safety and cost-effectiveness, the degradation may result in serious consequences. Direct advancing degradation in all technical systems is not easy to observe. In order to do so, related information is used, e.g. the study of diagnostic and operation measures-signals. This article presents a study of the deterioration of a mining head with multi-tool knives. There is a dataset containing the records of the drilling head behaviour in standard operation. The records contain typical operation characteristics such as moment and power for both sharp and blunt knives. Degradation modelling of the studied mining head knives is performed with stochastic continuous diffusion processes. They are Pearson type, Gauss-Markov type and Levy type processes. The achieved results are expected to be used for the observation of i) the first passage time of degradation critical value), ii) the prediction of residual useful life, and iii) the rationalization of in field operation and maintenance.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
20301 - Mechanical engineering
Návaznosti výsledku
Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2019
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 (IEEM2019): Proceedings
ISBN
978-1-72813-804-6
ISSN
2157-3611
e-ISSN
2157-362X
Počet stran výsledku
5
Strana od-do
421-425
Název nakladatele
IEEE-Institute of Electrical Electronics Engineers
Místo vydání
Piscataway
Místo konání akce
Macao
Datum konání akce
15. 12. 2019
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
000541902500084