Drilling head knives degradation modelling based on stochastic diffusion processes backed up by state space models
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG43__%2F22%3A00557234" target="_blank" >RIV/60162694:G43__/22:00557234 - isvavai.cz</a>
Alternative codes found
RIV/62156489:43110/22:43920284
Result on the web
<a href="https://authors.elsevier.com/sd/article/S0888-3270(21)00795-0" target="_blank" >https://authors.elsevier.com/sd/article/S0888-3270(21)00795-0</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.ymssp.2021.108448" target="_blank" >10.1016/j.ymssp.2021.108448</a>
Alternative languages
Result language
angličtina
Original language name
Drilling head knives degradation modelling based on stochastic diffusion processes backed up by state space models
Original language description
In this article, we investigate a mining system consisting of dataset records on in-field operational characteristics of a drilling head. We work with these data in order to get a picture of system degradation and actual condition. For data assessment and modelling, we apply both improved and specific new mathematical models. We examine the data using extended and enhanced state space models, which are suitable for system state and condition investigation. Our time series approaches are based on a modified Kalman-type backpropagation recursion. The improved and modified state space models are accompanied by improved forms of selected stochastic diffusion processes. The diffusion processes are used both for degradation modelling and also for forecasting potential failure occurrence.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20301 - Mechanical engineering
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Mechanical Systems and Signal Processing
ISSN
0888-3270
e-ISSN
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Volume of the periodical
166
Issue of the periodical within the volume
108448
Country of publishing house
GB - UNITED KINGDOM
Number of pages
21
Pages from-to
nestrankovano
UT code for WoS article
000704880300001
EID of the result in the Scopus database
2-s2.0-85115385379