Mining system degradation assessment based on mathematical analysis

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/62156489:43110/18:43915342

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Mining system degradation assessment based on mathematical analysis

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Mining system degradation assessment based on mathematical analysis

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20301 - Mechanical engineering

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

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

Počet stran výsledku

5

Strana od-do

217-221

Název nakladatele

IEEE

Místo vydání

Singapore

Místo konání akce

Bangkok

Datum konání akce

1. 1. 2018

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000458674600045