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Reliability Assessment of Mining System Based on Time Mining Data

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F19%3A43917701" target="_blank" >RIV/62156489:43110/19:43917701 - isvavai.cz</a>

  • Alternative codes found

    RIV/60162694:G43__/19:00555309

  • Result on the web

    <a href="https://dx.doi.org/10.1109/IEEM44572.2019.8978596" target="_blank" >https://dx.doi.org/10.1109/IEEM44572.2019.8978596</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/IEEM44572.2019.8978596" target="_blank" >10.1109/IEEM44572.2019.8978596</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Reliability Assessment of Mining System Based on Time Mining Data

  • Original language description

    The degradation of mechanical systems is a typical phenomenon accompanying most systems. When considering dependability, safety and cost-effectiveness, the degradation may result in serious consequences. Direct advancing degradation in all technical systems is not easy to observe. In order to do so, related information is used, e.g. the study of diagnostic and operation measures-signals. This article presents a study of the deterioration of a mining head with multi-tool knives. There is a dataset containing the records of the drilling head behaviour in standard operation. The records contain typical operation characteristics such as moment and power for both sharp and blunt knives. Degradation modelling of the studied mining head knives is performed with stochastic continuous diffusion processes. They are Pearson type, Gauss-Markov type and Levy type processes. The achieved results are expected to be used for the observation of i) the first passage time of degradation critical value), ii) the prediction of residual useful life, and iii) the rationalization of in field operation and maintenance.

  • Czech name

  • Czech description

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

    2019

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    IEEE International Conference on Industrial Engineering and Engineering Management (IEEM2019): Proceedings

  • ISBN

    978-1-72813-804-6

  • ISSN

    2157-3611

  • e-ISSN

    2157-362X

  • Number of pages

    5

  • Pages from-to

    421-425

  • Publisher name

    IEEE-Institute of Electrical Electronics Engineers

  • Place of publication

    Piscataway

  • Event location

    Macao

  • Event date

    Dec 15, 2019

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000541902500084