A catalogue capacity of slewing bearings

Kania, L.; Krynke, Marek; Mazanek, E.

doi:10.1016/j.mechmachtheory.2012.07.012

Cited by 50 publications

(20 citation statements)

References 9 publications

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“…The pitch bearings allow the blades of a wind turbine to rotate according to the wind speed and are regulated by the pitch controller. Given this attribute, pitch bearings have several unique characteristics in comparison to regular bearings, such as heavy loads (order of kNm), a larger size (diameter of meters), and greater weight (order of tonnes), as well as a clockwise-anticlockwise rotation [8]. Consequently, they have a considerable influence on the functionality and maintenance costs of a wind turbine, and also particular operating conditions [9].…”

Section: Introductionmentioning

confidence: 99%

Low-Speed Bearing Fault Diagnosis Based on Permutation and Spectral Entropy Measures

et al. 2020

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Despite its influence on wind energy service life, condition-based maintenance is still challenging to perform. For offshore wind farms, which are placed in harsh and remote environments, damage detection is critically important to schedule maintenance tasks and reduce operation and maintenance costs. One critical component to be monitored on a wind turbine is the pitch bearing, which can operate at low speed and high loads. Classical methods and features for general purpose bearings cannot be applied effectively to wind turbine pitch bearings owing to their specific operating conditions (high loads and non-constant very low speed with changing direction). Thus, damage detection of wind turbine pitch bearings is currently a challenge. In this study, entropy indicators are proposed as an alternative to classical bearing analysis. For this purpose, spectral and permutation entropy are combined to analyze a raw vibration signal from a low-speed bearing in several scenarios. The results indicate that entropy values change according to different types of damage on bearings, and the sensitivity of the entropy types differs among them. The study offers some important insights into the use of entropy indicators for feature extraction and it lays the foundation for future bearing prognosis methods.

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Section: Introductionmentioning

confidence: 99%

Low-Speed Bearing Fault Diagnosis Based on Permutation and Spectral Entropy Measures

et al. 2020

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“…A crane is regarded as stable as long as all wheel contact forces are positive. The influences of the boom attachment point and the boom weight are investigated (Kania et al, 2012). Mechanisms of the rotation (Fig.1) for crane are most often constructed with using rolling slewing bearings.…”

Section: Introductionmentioning

confidence: 99%

Management The Safety of Exploitation of the Rotation Mechanism in a Self-Propelled Crane

Krynke

Vaško

2019

System Safety: Human - Technical Facility - Environment

Self Cite

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The article analyzes of the load capacity of the rotation mechanism of the boom arm sub-assembly for a self-propelled crane. The uneven flexibility of systems supporting structures of the machine was taken into account in the identification of the load. The consideration are illustrated by the example slewing bearing from self-propelled crane. FEM method was used for calculations. The basic problems of construction of numerical model were discussed. Sample calculations of bearing carrying capacity has been done taking into account flexibility of bearings supporting structures, which also allowed to define the internal load distribution in the bearing. On example of the supporting structure of the mobile crane DST 5050 the internal load distribution in the crane bearing at different positions of the crane machine body were defined. During the rotation of the crane body priority angels were indicated. It has been shown that the deformations of the supporting frames are so large that they significantly change the distribution of forces transmitted by the individual bearing rollers.

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“…The analytical model was experimentally benchmarked using the spin-down method. Aguirrebeitia et al [10], Lacroix et al [11], Kania et al [12], Chen and Wen [13], Aguirrebeitia et al [14,15] and a few others have contributed significantly towards modeling the slewing ring ball raceway contacts using analytical and finite element methods, which can be used to simulate static load-carrying capacity and the friction torque of these bearings.…”

Section: Introductionmentioning

confidence: 99%

Running Torque of Slow Speed Two-Point and Four-Point Contact Bearings

Joshi¹,

Kachhia

Kikkari³

et al. 2015

Lubricants

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A decoupled slow speed friction torque model has been developed to predict the running torque of a double-arched angular contact bearing when operating as a four-point, as well as a two-point contact bearing. The load distribution model from Amasorrain et al. (2003) and the kinematics model developed by Leblanc and Nelias (2007) have been combined after ignoring centrifugal and gyroscopic effects, a valid assumption for slow speed operation. Results from the model are compared with previous literature data, as well as with tests done on a specially-developed friction torque rig. The comparison with the literature results was done for two specific cases: (i) when only one out of the two contact lines in the four-point contact bearing is active (effectively creating a two-point contact bearing); and (ii) where both contact lines in the four-point contact bearing are active. Further, the comparison was done with a custom-built friction torque rig with FAG QJ309 bearings, again for two cases: (i) bearings mounted with a specific clearance (two-point contact); and (ii) bearings mounted with larger size balls to obtain interference (four-point contact). All tests were performed at low speeds. The sliding friction, which is an important input to the friction torque model, is carefully measured on ball-on-plate test using the same interface roughness, speed and contact pressure conditions as seen in the QJ309 friction test. The model comparison with experimental results is covered. The comparison is found to be encouraging, with the RMS difference being less than 7% between the model and experimental data for a four point contact.

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A catalogue capacity of slewing bearings

Cited by 50 publications

References 9 publications

Low-Speed Bearing Fault Diagnosis Based on Permutation and Spectral Entropy Measures

Low-Speed Bearing Fault Diagnosis Based on Permutation and Spectral Entropy Measures

Management The Safety of Exploitation of the Rotation Mechanism in a Self-Propelled Crane

Running Torque of Slow Speed Two-Point and Four-Point Contact Bearings

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