Bearing Fault Diagnosis in Mechanical Gearbox, Based on Time and Frequency - Domain Parameters with MLP-ARD

Authors : Dimitrios KATERIS, Dimitrios MOSHOU, Theodoros GIALAMAS, İoannis GRAVALOS, Panagiotis XYRADAKIS

Pages : 101-106

View : 15 | Download : 9

Publication Date : 2014-04-01

Article Type : Research Paper

Abstract :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 insert ignore into journalissuearticles values(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 insert ignore into journalissuearticles values(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 insert ignore into journalissuearticles values(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.
Keywords : Gearbox, fault detection, neural network, bearing