Reliability Assessment of Mining System Based on Time Mining Data
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG43__%2F19%3A00555309" target="_blank" >RIV/60162694:G43__/19:00555309 - isvavai.cz</a>
Alternative codes found
RIV/62156489:43110/19:43917701
Result on the web
<a href="https://ieeexplore.ieee.org/document/8978596" target="_blank" >https://ieeexplore.ieee.org/document/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>
Alternative languages
Result language
angličtina
Original language name
Reliability Assessment of Mining System Based on Time Mining Data
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
20300 - Mechanical engineering
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 2019 IEEE International Conference on Industrial Engineering and Engineering Management
ISBN
978-1-7281-3804-6
ISSN
2157-3611
e-ISSN
2157-362X
Number of pages
5
Pages from-to
421-425
Publisher name
IEEE
Place of publication
Singapore
Event location
MACAO
Event date
Dec 15, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000541902500084