Slewing bearing

About: Slewing bearing is a research topic. Over the lifetime, 1498 publications have been published within this topic receiving 5309 citations.

Slewing turntable bearing

Abstract: The rotatable fork-plate of a fork lift truck is mounted to a large-diameter slewing gear, and the slewing bearing fits inside. In place of the usual ball bearing, a plastic strip is curved around into a circle, and placed between the slewing gear and the stator frame. The circle is not complete, in that a circumferential gap is left between the ends. The rotor and stator are formed with suitable faces for supporting journal forces, and thrust forces both ways, via the plastic strip. The preferred profile of the strip is channel-shaped. The strip floats circumferentially between the rotor and the stator. The plastic strip being corrosion free, no seals are provided on the bearing, even for operation near sea-water.

Distribution of loads in the large size bearing – problems of identification

Abstract: Original scientific paper Large diameter slewing bearings used in open cast machines are made of unhardened raceways. As a consequence the major wear is caused by the plastic deformations. Loads acting on the rolling elements of the bearing depend on the load transferred through the bearing itself and on the superstructure and undercarriage components stiffness. As a consequence of the plastic wear, the load distribution in the bearing is changing. The object of investigations was slewing bearing of the stacker-reclaimer LZKS 1600 which operates on the coal homogenization yard in open cast mine Belchatow, Poland. Numerical and experimental research was carried out with the purpose to determine the influence of the superstructure and undercarriage stiffness on the ball loads in the new bearing after a short operation time. Moreover, the load distribution in terms of plastic wear was determined.

Residual Useful Life Prediction for Slewing Bearing Based on Similarity under Different Working Conditions

Abstract: Slewing bearing is the key component of wind turbine and is used to transmit radial and axial load as well as the resulting overturning moments. The poor working condition will easily result in fatigue failure. An effective method for predicting the residual useful life of slewing bearing is proposed. Firstly, the features of temperature, torque and vibration signal of service sample and reference sample are extracted separately. Second, principal component analysis (PCA) based multiple sensitive features is used to establish performance decline indicator. Further analysis on these three PCA indicators is made by Support Vector Data Description (SVDD). Then the similarity is calculated between service sample and reference sample by normalized cross correlation (NCC) and residual useful life of service sample is predicted according to the life of reference sample. Finally, the method is verified by two experiments based on different working conditions. The prediction absolute error is only 0.9% when interval length is 50.