Rotating machinery fault diagnosis using a quadratic neural unit

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44555601%3A13440%2F22%3A43896296" target="_blank" >RIV/44555601:13440/22:43896296 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/68407700:21220/22:00361188

Výsledek na webu

<a href="https://www.sciencedirect.com/science/article/pii/S2542660521000391" target="_blank" >https://www.sciencedirect.com/science/article/pii/S2542660521000391</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1504/IJGUC.2022.124403" target="_blank" >10.1504/IJGUC.2022.124403</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Rotating machinery fault diagnosis using a quadratic neural unit

Popis výsledku v původním jazyce

In this work, a quadratic neural unit was implemented for rotating machinery fault diagnoses of an industrial machine, where the input data that were used were taken from a vibration test on an alternating current motor. The data that were obtained from the vibrometer were the frequency and the average of the vibration, which were previously trained and input into the neural unit. The output of this unit was a value that can be used to categorize the severity level of an engine, according to the severity table provided by the norm ISO 10816 for industrial machines.

Název v anglickém jazyce

Rotating machinery fault diagnosis using a quadratic neural unit

Popis výsledku anglicky

In this work, a quadratic neural unit was implemented for rotating machinery fault diagnoses of an industrial machine, where the input data that were used were taken from a vibration test on an alternating current motor. The data that were obtained from the vibrometer were the frequency and the average of the vibration, which were previously trained and input into the neural unit. The output of this unit was a value that can be used to categorize the severity level of an engine, according to the severity table provided by the norm ISO 10816 for industrial machines.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

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

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2022

Kód důvěrnosti údajů

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

Název periodika

International Journal of Grid and Utility Computing

ISSN

1741-847X

e-ISSN

1741-8488

Svazek periodika

13

Číslo periodika v rámci svazku

2/3

Stát vydavatele periodika

CH - Švýcarská konfederace

Počet stran výsledku

11

Strana od-do

309-3019

Kód UT WoS článku

000830705700020

EID výsledku v databázi Scopus

2-s2.0-85135175517