Comparison of Faults Classification in Vibrodiagnostics from Time and Frequency Domain Data

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F18%3APU130083" target="_blank" >RIV/00216305:26210/18:PU130083 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Comparison of Faults Classification in Vibrodiagnostics from Time and Frequency Domain Data

Original language description

The paper deals with the comparison of the success rate of classification models from Matlab Classification Learner app. Classification models will compare data from the frequency and time domain, the data source is the same. Both data samples are from real measurements on the vibrodiagnostics model. Five basic faults are recognized, namely, the static unbalances at two levels, the dynamic unbalances at two levels and the faultless state. The data is then processed and reduced for the use of the Matlab Classification Learner app, which creates a model for recognizing faults. The aim of the paper is to compare the success rate of classification models when the data source is dataset in time or frequency domain.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

20205 - Automation and control systems

Project

<a href="/en/project/LO1202" target="_blank" >LO1202: NETME CENTRE PLUS</a><br>

Continuities

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

Publication year

2018

Confidentiality

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

Article name in the collection

Mechatronika 2018

ISBN

978-80-214-5543-6

ISSN

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e-ISSN

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Number of pages

6

Pages from-to

482-487

Publisher name

Neuveden

Place of publication

neuveden

Event location

Brno

Event date

Dec 5, 2018

Type of event by nationality

CST - Celostátní akce

UT code for WoS article

000465104200076