Detection of bearing faults from raw time domain or frequency domain data is extremely difficult in view of the fact that there are a very large number of frequency components present in these signals. For this reason, other specialized signal processing techniques have been tried out. Experiments were carried out on a specially fabricated bearing test rig with variable speed drive and hydrauli...

Abstract Analysis of dynamic characteristics the defective bearing is significant for fault diagnosis machinery. At present, there are few researches on numerical modeling with roller. To solve this problem, explicit finite element method adopted in paper to establish a nonlinear model cylindrical roller spalling defects. In proposed model, flexibility all components, internal friction, relativ...

The nonlocal means (NL-Means) method that has been widely used in the field of image processing in recent years effectively overcomes the limitations of the neighborhood filter and eliminates the artifact and edge problems caused by the traditional image denoising methods. Although NL-Means is very popular in the field of 2D image signal processing, it has not received enough attention in the f...

Abstract—In this study the regional stability of a rotor system which is supported on rolling bearings with radial clearance is studied. The rotor is assumed to be rigid. Due to radial clearance of bearings and dynamic configuration of system, each rolling elements of bearings has the possibility to be in contact with both of the races (under compression) or lose its contact. As a result, this ...

Article history: Received 6 September, 2015 Accepted 9 December 2015 Available online 9 December 2015 This paper provides a method of acoustic emission (AE) technique to detect a train bearing fault of tapered bearing unit (TBU). An approach is to utilize acoustic emission signals which were captured from piezoelectric transducer and processed using Fourier transform. The transformed signals ma...