• Aucun résultat trouvé

Combination between STFT and DWT for FaultDetection and Diagnosis in Rotating Machineryby Vibration Monitoring

N/A
N/A
Info
Télécharger
Protected

Academic year: 2021

Partager "Combination between STFT and DWT for FaultDetection and Diagnosis in Rotating Machineryby Vibration Monitoring"

Copied!
1
0
0

Chargement.... (Voir le texte intégral maintenant)

Texte intégral

(1)

la 8ème édition de la Conférence sur le Génie Electrique (CGE’08), ALGERIE, 16-17 Avril, 2013 2013

Combination between STFT and DWT for Fault Detection and Diagnosis in Rotating Machinery

by Vibration Monitoring

I. Atoui, R. Boulkroune, A. Grid, R. Saidi

Abstract : Signal analysis with fixed time-frequency resolution, such as the Short-Time Fourier Transform(STFT), is a common tool for many industrial applications in rotating machinery condition monitoring allowing effective implementation via the Fast Fourier Transform (FFT).However, the fixed time-frequency resolution of the STFT can lead to the undesirable smearing of events in both timeand frequency. In this paper, we propose a combination between STFT and DWT for the faults detection and diagnosis in a rotating machine. An implementation procedure for the fault detection and diagnosis in rotating machinery at real-time has been presented out in this paper. The experimental results confirm that this procedure serves as a good tool to fault detection and diagnosis in rotating machinery.

Keywords : I. Atoui, R. Boulkroune, A. Grid, and R. Saidi

Centre de Recherche en Technologies Industrielles - CRTI - www.crti.dz

Powered by TCPDF (www.tcpdf.org)

Références

Télécharger maintenant ( PDF - 1 Page - 7.74 KB )

Documents relatifs

VIBRATION MONITORING FOR FAULTDIAGNOSIS IN ROTATING MACHINERYUSING WAVELET TRANSFORM

Abstract: Vibration analysis is essential in improving condition monitoring and fault diagnostics of rotating machinery.. Many signal analysis methods are able to extract

VIBRATION MONITORING FOR FAULT DIAGNOSIS IN ROTATING MACHINERY USING WAVELET TRANSFORM

Vibration analysis is essential in improving condition monitoring and fault diagnostics of rotating machinery.. Many signal analysis methods are able to extract useful information

Application of Wavelet Transform for Fault Diagnosis in Rotating Machinery

The measurement of vibration applied to condition monitoring and fault diagnosis requires different types of equipment and techniques. These depend on the investment and

WAVELETS AND PRINCIPAL COMPONENT ANALYSIS METHOD FOR VIBRATION MONITORING OF ROTATING MACHINERY

The obtained decomposition levels are used as input to the PCA method for fault identification using respectively, the Q-statistic, it is also called Squared Prediction Error (SPE),

WAVELETS AND PRINCIPAL COMPONENT ANALYSIS METHOD FOR VIBRATION MONITORING OF ROTATING MACHINERY

The obtained decomposition levels are used as input to the PCA method for fault identification using respectively, the Q-statistic, it is also called Squared

Selection of Wavelet Decomposition Levels for Vibration Monitoring of Rotating Machinery

It is adapted to obtain multiple data series at different resolutions by wavelet decomposition and calculate the energy distribution using Parseval’s theorem in order

Condition monitoring of rotating machinery byvibration signal processing methods

Durant la dernière décennie, des recherches actives et considérables se sont effectuées en vue de développer des mé-thodes de détection et de diagnostic de défauts des

Condition monitoring of rotating machinery by vibration signal processing methods

The result of db4 decomposition of the vibration signal of the mass unbalance collected at a rota- tion frequency of 15 Hz is given in Fig.7.. Obviously, there is no