Fault detection in rotating machines by vibration signal processing techniques

D'Elia, Gianluca (2008) Fault detection in rotating machines by vibration signal processing techniques, [Dissertation thesis], Alma Mater Studiorum Università di Bologna. Dottorato di ricerca in Meccanica applicata, 20 Ciclo. DOI 10.6092/unibo/amsdottorato/952.
Documenti full-text disponibili:
Documento PDF (English) - Richiede un lettore di PDF come Xpdf o Adobe Acrobat Reader
Download (11MB) | Anteprima


Machines with moving parts give rise to vibrations and consequently noise. The setting up and the status of each machine yield to a peculiar vibration signature. Therefore, a change in the vibration signature, due to a change in the machine state, can be used to detect incipient defects before they become critical. This is the goal of condition monitoring, in which the informations obtained from a machine signature are used in order to detect faults at an early stage. There are a large number of signal processing techniques that can be used in order to extract interesting information from a measured vibration signal. This study seeks to detect rotating machine defects using a range of techniques including synchronous time averaging, Hilbert transform-based demodulation, continuous wavelet transform, Wigner-Ville distribution and spectral correlation density function. The detection and the diagnostic capability of these techniques are discussed and compared on the basis of experimental results concerning gear tooth faults, i.e. fatigue crack at the tooth root and tooth spalls of different sizes, as well as assembly faults in diesel engine. Moreover, the sensitivity to fault severity is assessed by the application of these signal processing techniques to gear tooth faults of different sizes.

Tipologia del documento
Tesi di dottorato
D'Elia, Gianluca
Dottorato di ricerca
Settore disciplinare
Settore concorsuale
Parole chiave
fault detection diagnostics vibrations signal processing
Data di discussione
17 Aprile 2008

Altri metadati

Statistica sui download

Gestione del documento: Visualizza la tesi