Failure prediction and life assessment methods for slewing bearings

18-03-2025

Slewing bearings are a common component in engineering machinery. Their main function is to support rotating parts and transfer loads. During operation, slewing bearings often bear large loads and operating speeds, so failure problems are prone to occur. Failure prediction and life assessment of slewing bearings are of great significance and can effectively improve the reliability and safety of equipment.

Failure prediction and life assessment methods for slewing bearings

The failure of slewing bearings mainly includes fatigue fracture, wear, plastic deformation and other forms. The key to failure prediction is to timely discover potential problems and take corresponding measures by monitoring the state and health assessment of slewing bearings. Common failure prediction methods include vibration analysis, temperature monitoring, acoustic wave detection, lubricant analysis, etc. Luoyang Hengguan Bearing Technology Co., Ltd. introduces that by monitoring the vibration spectrum, temperature changes, acoustic wave signals and lubricant conditions of slewing bearings, the health status of slewing bearings can be diagnosed in advance to avoid sudden failures.

slewing bearing manufacturer

Life assessment refers to the analysis of the use conditions, load conditions, working environment, etc. of the slewing bearings to predict their possible life and service life, and formulate corresponding maintenance plans and maintenance measures. Common life assessment methods include finite element analysis, life model fitting, and experimental verification. Finite element analysis can simulate the stress of the slewing bearing under different load conditions, and determine its stress distribution and the location of fatigue cracks. Life model fitting is to fit and analyze the experimental data by establishing a mathematical model related to the failure of the slewing bearing, and obtain the life prediction and life assessment results of the slewing bearing.

In short, failure prediction and life assessment of slewing bearings are important contents in the maintenance and management of construction machinery, which can effectively extend the service life of equipment, reduce failure rate, and improve production efficiency and safety. In practical applications, it is necessary to combine different monitoring means and evaluation methods to analyze the working condition of the slewing bearing, timely discover potential problems and perform effective maintenance to ensure the reliability and stability of the equipment.


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