Evaluation of gear pitting severity by using various condition monitoring indicators

Fault detection techniques based on vibration measurement are implemented to identify in an early stage failures appearing in gear transmissions. Condition monitoring indicators (CMI), like: Root Mean Square (RMS), Crest Factor, Kurtosis, FMO, FM4, Energy ratio, Energy operator, NA4 or NB4, are used...

Teljes leírás

Elmentve itt :
Bibliográfiai részletek
Szerzők: Sfetcu Camelia Rodica
Korka Zoltan
Bloju Alin Virgil
Traistaru Dalina Elena
Hrimiuc Corneliu
Dokumentumtípus: Cikk
Megjelent: University of Szeged, Faculty of Engineering Szeged 2022
Sorozat:Analecta technica Szegedinensia 16 No. 1
Kulcsszavak:Gépészet, Hibaanalízis, Hibakeresés
Tárgyszavak:
doi:10.14232/analecta.2022.1.34-41

Online Access:http://acta.bibl.u-szeged.hu/77868
Leíró adatok
Tartalmi kivonat:Fault detection techniques based on vibration measurement are implemented to identify in an early stage failures appearing in gear transmissions. Condition monitoring indicators (CMI), like: Root Mean Square (RMS), Crest Factor, Kurtosis, FMO, FM4, Energy ratio, Energy operator, NA4 or NB4, are used to estimate the level of gear faults such as pitting, cracks, spalling, scuffing or scoring. However, in is multitude of indicators, the question that arises is: which CMI is the most sensitive in estimating the severity of defects? Thus, this paper presents an extensive comparison between the before mentioned indicators computed from vibration signals collected on four pinions with different pitting grades, created by artificial means. The pinions where incorporated in a single helical gearbox and the tests were performed on an open-energy test rig at three different input speeds. This comparative study assesses the receptivity of different condition monitoring indicators towards gear pitting failure.
Terjedelem/Fizikai jellemzők:34-41
ISSN:2064-7964