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...

Remaining useful life (RUL) prediction of equipment has important significance for guaranteeing production efficiency, reducing maintenance cost, and improving plant safety. This paper proposes a novel method based on an new particle filter (PF) for predicting equipment RUL. Genetic algorithm (GA) is employed to improve the particle leanness problem that arises in traditional PF algorithms, and...

Monitoring the condition of rolling element bearings and defect diagnosis has received considerable attention for many years because the majority of problems in rotating machines are caused by defective bearings. In order to monitor conditions and diagnose defects in a rolling element bearing, a new approach is developed, based on the characteristic defect octave frequencies. The characteristic...

Rolling bearings are one of the most important uproar and vibration generator into mechanical constructions. According to that, it is very important to know ascendancy of rolling bearing construction to main parameters which determine level of uproar and vibrations produced inside machines. This paper present new mathematical model of dynamic behavior of rigid rotor inside the rolling bearing. ...

sandwich sheet rolling process is investigated using an analytical method (slab method) and a numerical method (finite element method). the horizontal stress distribution in the layers, the rolling pressure along the contact interface and the neutral point between the roll and the sheet are investigated. then the affects of the parameters such as the friction between the sheet and the roll, she...

This paper presents an analysis of the vibration behavior a rotating machine based on signal spectrum for detecting localized defects in bearings. approach can extract characteristic frequencies related to defect from resonant frequency band signal. The technique is demonstrated tool with ball bearings (bearing number “2” and bearing “4”) under simulated crack cage. Experimental results show so...

The periodic impulse feature is the most typical fault signature of the vibration signal from fault rolling element bearings (REBs). However, it is easily contaminated by noise and interference harmonics. In order to extract the incipient impulse feature from the fault vibration signal, this paper presented an autocorrelation function periodic impulse harmonic to noise ratio (ACFHNR) index base...