Research and development work at the University of Southampton using an electrostatic condition monitoring system developed by Smiths Aerospace Information Systems has shown that electrostatic charge signals can be used to detect the onset of wear in lubricated tribo-contacts. Preliminary investigations have already demonstrated the viability of this system when tested on a laboratory-based pin...

The research objective in this paper is to investigate the feasibility and effectiveness of utilizing envelope extraction combining the multi-scale entropy (MSE) analysis for identifying different roller bearing faults. The features were extracted from the angle-domain vibration signals that were measured through the hardware-implemented order-tracking technique, so that the characteristics of ...

Fully flooded lubrication is the ideal state for a rolling bearing; this especially true in aggressive environment of wind turbine transmission where bearings are subject to intermittent operation and highly variable loading. In paper, novel ultrasonic reflection method used detect presence oil between rollers bearing. Ultrasonic sensors were instrumented on static inner (lab) outer (field) bea...

Abstract The rotor system supported by the cylindrical roller bearings is widely used in various fields, such as aviation, space and machinery due to its importance. In study of analysis vibration characteristics system, it important accurately calculate stiffness damping bearings. Therefore, this paper, dynamic simple rotor-bearing were analyzed based on new model considering comprehensive bea...

The design of tapered roller bearings has a fundamental influence on the performance, life and reliability of the bearings. Consequently, this also affects the operating quality and the economization of machines on which the bearings are used. The responsibility of bearing designers is to select an optimal scheme from all the possible alternative designs, or simply put to make the best choice. ...

In this paper, a comparative study of the Artificial Intelligence (AI) techniques for condition monitoring cylindrical roller bearing is presented. For feature selection, wavelet analysis applied using ‘sym2’ as mother wavelet. Nine features are considered training and evaluation AI then effectiveness compared. Bearing sample data consists four different conditions having defective inner race, ...

Abstract In order to improve the working capacity and life of bearing units, dimensional analysis inner geometry a cylindrical radial was carried out. The assembly component, composed by outer diameter dimensions raceway race, race two diameters rollers, considered as dimension chain. It is recommended, in reduce wear friction losses, produce diametrical roller according fifth accuracy degree. ...