Mining system degradation assessment based on mathematical analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG43__%2F18%3A00536303" target="_blank" >RIV/60162694:G43__/18:00536303 - isvavai.cz</a>
Alternative codes found
RIV/62156489:43110/18:43915342
Result on the web
<a href="http://dx.doi.org/10.1109/IEEM.2018.8607454" target="_blank" >http://dx.doi.org/10.1109/IEEM.2018.8607454</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/IEEM.2018.8607454" target="_blank" >10.1109/IEEM.2018.8607454</a>
Alternative languages
Result language
angličtina
Original language name
Mining system degradation assessment based on mathematical analysis
Original language description
System technical condition is a very important information source. When in operation, it is not always possible to find out about the system condition directly. However, indirect diagnostic values and operation measures can help to estimate technical condition. In our article we focus on applying measured operation characteristics. We are going to use the information from the operation of a mine digging machine. Changes in these characteristics indicate that drilling head cutting edges deteriorate making them dependent. When modelling the cutting edges deterioration, we use the advanced methods of time series modelling and diffusion processes, namely a novel approach to Kalman filter and Wiener process with drift used for technical diagnostic data. The aim is to estimate i) trend in head cutting edges degradation, ii) critical value first hitting time, iii) first hitting time distribution.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
20301 - Mechanical engineering
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2018
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 2018 IEEE International Conference on Industrial Engineering and Engineering Management
ISBN
978-1-5386-6786-6
ISSN
2157-3611
e-ISSN
2157-362X
Number of pages
5
Pages from-to
217-221
Publisher name
IEEE
Place of publication
Singapore
Event location
Bangkok
Event date
Jan 1, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000458674600045