Bearing Fault Diagnosis in Mechanical Gearbox, Based on Time and Frequency - Domain Parameters with MLP-ARD
Öz
Gearboxes are one of the most important parts of the rotating machinery employed in
industries. Their function is to transfer torque and power from one shaft to another. If faults occur
in any component (bearings) of these machines during operating conditions, serious consequences
may occur. Consequently, condinuous monitoring of such subsystems could increase reliability of
machines carrying out field operations. Recently, research has been focused on the implementation
of vibration signals analysis for the health status diagnosis in gearboxes having as a base the use
of acceleration measurements. Informative features sensitive to specific bearing faults and fault
locations were constructed by using advanced signal processing enabling the accurate
discrimination of faults based on their location.
This work presents a fault diagnosis method for a mechanical gearbox with time and frequency -
domain features by using a Multilayer Perceptron with Bayesian Automatic Relevance (MLP-ARD)
Neural Network.
The time and frequency-domain vibration signals of normal and faulty bearings are processed for
feature extraction. These features from all the signals are used as input to the MLP-ARD. The
experimental results show that the proposed approach (MLP-ARD) presents very high accuracy in
different bearing fault detection. This approach will be extended as regards real-time fault
detection of rotating parts in agricultural vehicles where the anticipation of detection of incipient
failure can lead to reduced downtime.
Anahtar Kelimeler
Kaynakça
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Ayrıntılar
Birincil Dil
İngilizce
Konular
-
Bölüm
Araştırma Makalesi
Yazarlar
Dimitrios Katerıs
Bu kişi benim
Greece
Dimitrios Moshou
Bu kişi benim
Greece
Theodoros Gıalamas
Bu kişi benim
Greece
İoannis Gravalos
Bu kişi benim
Greece
Panagiotis Xyradakıs
Bu kişi benim
Greece
Yayımlanma Tarihi
1 Nisan 2014
Gönderilme Tarihi
10 Haziran 2014
Kabul Tarihi
18 Temmuz 2014
Yayımlandığı Sayı
Yıl 2014 Cilt: 10 Sayı: 2