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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

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • 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

  • 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