Value of Autocorrelation Analysis in Vehicle Gearbox Fault Diagnosis

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F15%3A00240552" target="_blank" >RIV/68407700:21220/15:00240552 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1504/IJVNV.2015.070029" target="_blank" >http://dx.doi.org/10.1504/IJVNV.2015.070029</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1504/IJVNV.2015.070029" target="_blank" >10.1504/IJVNV.2015.070029</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Value of Autocorrelation Analysis in Vehicle Gearbox Fault Diagnosis

Popis výsledku v původním jazyce

This article presents value of autocorrelation analysis in vehicle gearbox fault diagnosis. Autocorrelation algorithm is a mathematical tool for finding repetitive patterns, such as finding the presence of a periodic signal which has been buried under noise or identifying the missing fundamental frequency in a signal implied by its harmonic frequencies. The paper intends to apply the autocorrelation analysis for detection of an artificial pitting defect in vehicle gearbox at different operation conditions. The test stand is equipped with three dynamometers; the input dynamometer serves as internal combustion engine, the output dynamometers introduce the load on the flanges of output joint shafts. The pitting defect is manufactured on the one tooth side of the fifth speed pinion on the output shaft. The procedures are illustrated with the experimental vibration data of real vehicle gearbox. The results show the effectiveness of autocorrelation analysis for detection and diagnosis of the gear condition under different operating conditions.

Název v anglickém jazyce

Value of Autocorrelation Analysis in Vehicle Gearbox Fault Diagnosis

Popis výsledku anglicky

This article presents value of autocorrelation analysis in vehicle gearbox fault diagnosis. Autocorrelation algorithm is a mathematical tool for finding repetitive patterns, such as finding the presence of a periodic signal which has been buried under noise or identifying the missing fundamental frequency in a signal implied by its harmonic frequencies. The paper intends to apply the autocorrelation analysis for detection of an artificial pitting defect in vehicle gearbox at different operation conditions. The test stand is equipped with three dynamometers; the input dynamometer serves as internal combustion engine, the output dynamometers introduce the load on the flanges of output joint shafts. The pitting defect is manufactured on the one tooth side of the fifth speed pinion on the output shaft. The procedures are illustrated with the experimental vibration data of real vehicle gearbox. The results show the effectiveness of autocorrelation analysis for detection and diagnosis of the gear condition under different operating conditions.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

JT - Pohon, motory a paliva

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

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

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název periodika

International Journal of Vehicle Noise and Vibration

ISSN

1479-1471

e-ISSN

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Svazek periodika

11

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

20

Strana od-do

165-184

Kód UT WoS článku

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EID výsledku v databázi Scopus

2-s2.0-84934290299