Degradation Assessment of Drilling Head based on Stochastic Growth Models and Continuous Time Diffusion Processes

Result code in 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>
Result on the web
<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>

Result language
angličtina
Original language name
Degradation Assessment of Drilling Head based on Stochastic Growth Models and Continuous Time Diffusion Processes
Original language description
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.
Czech name
—
Czech description
—

Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)
ISBN
978-1-66548-688-0
ISSN
—
e-ISSN
—
Number of pages
5
Pages from-to
487-491
Publisher name
IEEE-Institute of Electrical Electronics Engineers
Place of publication
Piscataway
Event location
Kuala Lumpur
Event date
Dec 7, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—

Similar results(10)