Acoustic emission is an emerging technique for condition monitoring of rolling element bearings and potentially offers advantages for detection of incipient damage at an early stage of failure. Before such a technique can be applied with confidence for health monitoring, it is vital to understand the variation of acoustic emission generation with operating conditions in a healthy bearing. This ...

The wavelet de-noising technique with wavelet based function has been used in this paper for bearing fault detection. The applications of the wavelet de-noising show that the fault pulses in time-domain of the de-noised signals are easily to be detected as a result of removing the covering noise, which is not possible through the time-domain analysis of the original signal. Furthermore, the rec...

This paper presents a novel test rig, developed to analyse the behaviour of rolling element bearings subjected to highly varying loads. The design is optimised to measure the bearing behaviour, free from dynamics of the surrounding structure. A test bearing is mounted in a floating housing supported by flexible air springs, providing a preload force on the bearing. This allows measuring the rig...

Rolling-element bearings are one of the most important elements when predicting noise rotating machinery. As a major connecting point between and non-rotating parts, their dynamic properties have to be accurately known. In this investigation we present bottom-up approach characterising dynamics rolling-element bearing. A special test device was designed built assess quality well-established ana...

Standard condition monitoring techniques for assessing the health of rolling element bearings are widely used in numerous engineering industries. It is well known that the appearance of impulses in measured acceleration signals indicates the presence of a defect within a bearing. Although a large amount of technical content related to the signal processing of measured time-domain signals has be...