Bearing diagnostics based on a Spectral combination of Hjorth's parameters - Surveillance, Vibrations, Shock and Noise Access content directly
Conference Papers Year : 2023

Bearing diagnostics based on a Spectral combination of Hjorth's parameters

Abstract

Signal decomposition method based on spectral criteria or more recently data-driven, are the basis of bearing and gear fault diagnosis. In this work, a new signal decomposition method based on a Spectral combination of Hjorth’s parameter is proposed. The effectiveness and sensitivity of such a signal decomposition to bearing fault diagnostics has been investigated based on both synthetic and real bearing vibration signals. The results show good performances in extracting the frequency band which carries the most useful diagnosis information, and sensibility to the different fault severities
Fichier principal
Vignette du fichier
survishno_2023_spectralDetectivity.pdf (6.34 Mo) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-04165633 , version 1 (19-07-2023)

Identifiers

  • HAL Id : hal-04165633 , version 1

Cite

Gianluca d'Elia, Marco Cocconcelli, Alessandro Paolo Daga, Luigi Garibaldi, Riccardo Rubini. Bearing diagnostics based on a Spectral combination of Hjorth's parameters. Surveillance, Vibrations, Shock and Noise, Institut Supérieur de l'Aéronautique et de l'Espace [ISAE-SUPAERO], Jul 2023, Toulouse, France. ⟨hal-04165633⟩

Collections

SURVISHNO2023
16 View
12 Download

Share

Gmail Facebook X LinkedIn More