Rolling bearings are widely used in rotating equipment. Detection of bearing faults is of great importance to guarantee safe operation of mechanical systems. Acoustic emission (AE), as one of the bearing monitoring technologies, is sensitive to weak signals and performs well in detecting incipient faults. Therefore, AE is widely used in monitoring the operating status of rolling bearing. This p...

The fault diagnosis precision for rolling bearings under variable conditions has always been unsatisfactory. For solving this problem, a feature extraction method combing the Hilbert-Huang transform with singular value decomposition was proposed in this paper. The method includes three steps. Firstly, instantaneous amplitude matrices were obtained by Hilbert-Huang transform from rolling bearing...

In practical engineering, quality control of mechanical components or parts of rotational machinery is quite important. As for rolling bearings, the defects from rolling bodies, internal ring, external ring, and retainer are more focused on. Therefore, in this work, a vibration and noise test system is developed for the defect diagnosis of mechanical components above-mentioned. The key point of...

Rolling bearings are one of the most important noise and vibration generator into mechanical constructions. Therefore, it is very important to have knowledge of the rolling element bearings influence on the level of noise and vibration in this systems. This paper deals with a basic forms for generation of vibration and noise of rolling element bearing and suggestions of vibration analysis signi...

In rotating machinery one of the critical components that is prone to premature failure is the rolling bearing. Consequently, early warning of an imminent bearing failure is much critical to the safety and reliability of any high speed rotating machines. This study is concerned with the application of Recurrence Quantification Analysis (RQA) in fault detection of rolling element bearings in rot...

OBJECTIVES P-selectin binding to P-selectin glycoprotein ligand-1 (PSGL)-1 mediates leukocyte rolling under conditions of inflammation and injury. The aims of this study were to develop an efficient, high temporal resolution model for direct simulation of leukocyte rolling and conduct a study of load-bearing bonds using the model. MATERIALS AND METHODS A stochastic pi-calculus-driven event-tr...

The present paper aims to demonstrate why usually when theoretical mathematical models are used to compute the frequencies corresponding to a faulty rolling bearing a deviation is obtained between the computed values and the real frequencies emitted by such a device. A laboratory rolling bearing test ring has been developed to perform the current studies. From the obtained results we highlight ...

Extension neural network is a new type of neural network that combines extension theory and artificial neural network. Extension neural network has been applied to pattern recognition, fault diagnosis and clustering. According to fault characteristics of rolling bearing, we propose a fault diagnostic method for rolling bearing based on extension neural network. We construct the fault diagnosis ...

Rolling bearings are high precision, low cost machine elements, used in all kinds of rotating machinery. Simulations of rolling bearings bring increased understanding of their dynamic behaviour, and shortens product development time. A rolling bearing simulation model called BEAST (BEAring Simulation Tool), has been developed by SKF. Due to the high demands on contact geometry description and c...