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”

Bearing fault prognostics using Rényi entropy based features and Gaussian process models

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F15%3A43925112" target="_blank" >RIV/49777513:23220/15:43925112 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1016/j.ymssp.2014.07.011" target="_blank" >http://dx.doi.org/10.1016/j.ymssp.2014.07.011</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.ymssp.2014.07.011" target="_blank" >10.1016/j.ymssp.2014.07.011</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Bearing fault prognostics using Rényi entropy based features and Gaussian process models

  • Original language description

    Bearings are considered to be the most frequent cause for failures in rotational machinery. Hence efficient means to anticipate the remaining useful life (RUL) on-line, by processing the available sensory records, is of substantial practical relevance. Many of the data-driven approaches rely on conjecture that evolution of condition monitoring (CM) indices is related with the aggravation of the condition and, indirectly, with the remaining useful life of a bearing. Problems with trending may be threefold: (i) most of the operational life show no significant trend until the time very close to failure; this is usually accompanied by rapidly growing values of CM indices which is not easy to forecast, (ii) the evolution of CM indices is not necessarily monotonous, (iii) variable and immeasurable fluctuations in operating may fool the trend. Motivated by these issues we propose an approach for bearing fault prognostics that employs Rényi entropy based features. It exploits the idea that pro

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    JA - Electronics and optoelectronics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/EE2.3.30.0013" target="_blank" >EE2.3.30.0013: Excellence in human resources as a source of competitiveness</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2015

  • 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

    2015

  • Issue of the periodical within the volume

    52-53

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    11

  • Pages from-to

    327-337

  • UT code for WoS article

    000345472500022

  • EID of the result in the Scopus database