All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Using artificial intelligence to determine the type of rotary machine fault

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F18%3APU134096" target="_blank" >RIV/00216305:26210/18:PU134096 - isvavai.cz</a>

  • Result on the web

    <a href="https://mendel-journal.org/index.php/mendel/article/view/10" target="_blank" >https://mendel-journal.org/index.php/mendel/article/view/10</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.13164/2018.2.049" target="_blank" >10.13164/2018.2.049</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Using artificial intelligence to determine the type of rotary machine fault

  • Original language description

    The article deals with the possibility of using machine learning in vibrodiagnostics to determine the type of fault of rotating machine. The data source is real measured data from the vibrodiagnostic model. This model allows simulation of some types of faults. The data is then processed and reduced for the use of the Matlab Classification learner app, which creates a model for recognizing faults. The model is ultimately tested on new samples of data. The aim of the article is to verify the ability to recognize similarly rotary machine faults from real measurements in the time domain.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2018

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Mendel Journal series

  • ISSN

    1803-3814

  • e-ISSN

  • Volume of the periodical

    24

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    6

  • Pages from-to

    49-54

  • UT code for WoS article

  • EID of the result in the Scopus database

    2-s2.0-85071994510