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Related Concept Videos

Journal Bearings01:23

Journal Bearings

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Journal bearings are mechanical components that support and provide lateral stability to rotating shafts and axles. They are crucial in reducing friction, wear, and vibration in machinery such as engines, turbines, and pumps. The principle behind journal bearings is forming a thin lubricant film between the bearing surface and the rotating shaft, which minimizes direct contact and reduces frictional forces.
To better understand the concept of journal bearings, consider a rope winch with dry or...
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Bearings: Problem Solving01:24

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Understanding the calculations and concepts related to double-collar bearings is essential for engineers and designers to optimize the performance of these components in various applications. By analyzing the bearing under different conditions, one can ensure that it can withstand the forces and moments experienced during operation. This knowledge enables better decision-making when designing and selecting bearings for specific purposes and configurations. Consider a double-collar bearing with...
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Design Example: Deciding Thickness of Lubricating Fluid in a Shaft01:23

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Effective lubrication between a rotating shaft and its bearing housing is essential in rotating machinery to minimize friction, wear, and energy loss. With carefully controlled thickness and viscosity, the lubricant layer prevents metal-to-metal contact, ensuring smooth operation.
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Collar Bearings01:23

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Bearing Stress01:22

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Bearing stress refers to the contact pressure between two separate bodies. To visualize this, imagine a bolt thrust through a plate. The bolt applies a force to the plate, which exerts an equal but opposite force back onto the bolt. This force isn't just a singular entity but a compilation of numerous smaller forces distributed across the contact surface between the bolt and the plate.
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Pivot Bearings01:23

Pivot Bearings

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In mechanical systems, bearings are crucial in facilitating relative motion between two components while minimizing friction and wear. They help distribute various loads (radial, axial or a combination of both loads) across machinery parts, ensuring smooth and efficient operation.
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Experiments on Ultrasonic Lubrication Using a Piezoelectrically-assisted Tribometer and Optical Profilometer
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Entropy Indicators: An Approach for Low-Speed Bearing Diagnosis.

Diego Sandoval1,2, Urko Leturiondo1, Yolanda Vidal2

  • 1Ikerlan Technology Research Centre, Basque Research and Technology Alliance (BRTA), Pº. J. Mª. Arizmendiarrieta, 2, 20500 Arrasate-Mondragón, Spain.

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Summary

New entropy indicators improve condition monitoring for low-speed wind turbine pitch bearings. This enhances diagnostic accuracy, reducing maintenance costs for offshore wind energy competitiveness.

Keywords:
condition monitoringentropylow-speed bearingspitch bearingvibration

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Area of Science:

  • Mechanical Engineering
  • Renewable Energy Systems
  • Condition Monitoring

Background:

  • Reducing offshore wind turbine maintenance costs is crucial for competitiveness.
  • Condition monitoring of pitch bearings is challenging due to low operational speeds and high loads.
  • Traditional vibration analysis struggles with low-speed bearing monitoring.

Purpose of the Study:

  • To develop enhanced condition monitoring techniques for low-speed bearings.
  • To improve the accuracy of vibration analysis for wind turbine pitch bearings.
  • To reduce maintenance costs in the wind energy sector.

Main Methods:

  • Utilized entropy-based indicators (approximate, dispersion, singular value decomposition, spectral entropy of permutation entropy).
  • Tested indicators with vibration signals from a bearing test rig under various health conditions.
  • Compared entropy indicators (EIs) against traditional methods.

Main Results:

  • Entropy indicators demonstrated higher accuracy in discriminating damaged low-speed bearings.
  • EIs proved more effective than conventional indicators for low-speed conditions.
  • Combining regular and entropy-based indicators enhanced diagnostic reliability.

Conclusions:

  • Entropy-based indicators offer a promising solution for low-speed bearing condition monitoring.
  • This approach can significantly improve the diagnosis of damaged bearings in wind turbines.
  • Enhanced monitoring contributes to reduced maintenance costs and increased wind energy competitiveness.