• Aucun résultat trouvé

An Improved Method for Bearing Faultsdiagnosis

N/A
N/A
Info
Télécharger
Protected

Academic year: 2021

Partager "An Improved Method for Bearing Faultsdiagnosis"

Copied!
1
0
0

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

Texte intégral

(1)

the World Symposium on Web Applications and Networkings WSWAN’2014 2014

An Improved Method for Bearing Faults diagnosis

A.boudiaf, S.Ziani, Z.Mentouri, S.Taleb, D.Idiou

Abstract : Envelope analysis is especially suitable for faultdiagnosis inducing periodic shocks or amplitude modulations suchas gears and bearings and has been applied widely for mechanicalfault detections over the last few decades. However, a criticallimitation of this technique is that it requires a prior knowledge onfiltering band. Due to this drawback, detecting machine defects atthe incipient stage when defect-characteristic components areweak in amplitude and without a distinctive spectral pattern posesa challenge to the conventional enveloping spectral analysistechnique .In order to overcome this limitation, this work gives anew signal processing approach for bearing faults diagnosis basedon Hilbert Transform (HT) and Fast Fourier Transform (FFT).

Itis applied on real measurement signals collected from anexperimental vibration system. The monitoring results indicatethat the proposed method improves the bearing faults diagnosisrelatively to other common techniques.

Keywords : Vibration analysis, bearing Fault diagnosis, Hilbert Transform (HT), Envelope Analysis (EA), Fast Fourier Transform (FFT)

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

Powered by TCPDF (www.tcpdf.org)

Références

Télécharger maintenant ( PDF - 1 Page - 7.90 KB )

Documents relatifs

An Improved Method for Gear Fault diagnosis

Due to this drawback, detecting machine defects at the incipient stage when defect-characteristic components are weak in amplitude and without a distinctive spectral pattern poses

An Improved Method for Gear Fault diagnosis A.Boudiaf

Due to this drawback, detecting machine defects at the incipient stage when defect-characteristic components are weak in amplitude and without a distinctive spectral

Hybrid Shape Descriptors for an Improved Weld Defect Retrieval in Radiographic Testing

The rectangularity and the roundness in the geometric descriptor (GEO) are used in order to propose an hybridization algorithm so that the hybrid descriptor issued from GEO and each

Multi-Dimensional Diffusion MRI Sampling Scheme: B-tensor Design and Accurate Signal Reconstruction

The Magic DIAMOND model is used to study maximum orders needed for expansion of the diffusion signal in the proposed basis and to evaluate reconstruction accuracy of the

Longue attente, Shanon

Je prends ses deux bras, les rejoins juste au-dessus de sa tête et la fait pivoter pour l’emmener dans le salon qui est non seulement plus spacieux mais qui possède un parquet,

Fuel metabolism during exercise in euglycaemia and hyperglycaemia in patients with type 1 diabetes mellitus—a prospective single-blinded randomised crossover trial

The principal findings were that: (1) during exercise the rate of carbohydrate oxidation was higher in hyperglycaemia than in euglycaemia; conversely, the rate of lipid oxidation

A clustering approach for detecting defects in technical documents

Results with pre-processing: Best value of K, validation results and the associated number of relevant clusters for each dataset.. Dataset Best value of K SV (Nb. of relevant

Improved cross pattern approach for steelsurface defect recognition

Its principle can perfectly be used in industrial vision applications for surface defect recognition.In this study, the relevance of this method of describing defect images