Wind turbine sliding gasket wear prediction method, system, device and medium

By constructing a multi-field coupled model of aerodynamic load and frictional heat, the problem of insufficient accuracy in predicting the wear of sliding liner in the existing technology is solved, and high-precision prediction of sliding liner under complex working conditions is realized, supporting precise operation and maintenance and safety management.

CN122304936APending Publication Date: 2026-06-30HUANENG FUXIN WIND POWER GENERATION CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
HUANENG FUXIN WIND POWER GENERATION CO LTD
Filing Date
2026-03-11
Publication Date
2026-06-30

AI Technical Summary

Technical Problem

Existing sliding liner wear prediction technologies suffer from overly idealized models that fail to accurately reflect the complex and variable operating conditions of wind turbines. They also neglect aerodynamic loads and frictional heat effects, resulting in significant discrepancies between prediction results and actual maintenance and inspection data, making it difficult to meet the needs of refined operation and maintenance.

Method used

A multi-field coupled model of aerodynamic load and frictional heat is constructed. By collecting wind turbine operating data, aerodynamic overturning torque and frictional heat generation are calculated, and wear equivalent angle is quantified. Combined with the heat accumulation-dissipation model and the segmented damage evolution model, the remaining life of the sliding pad is predicted with high accuracy.

Benefits of technology

It achieves high-precision, adaptive prediction of sliding gaskets under complex and variable operating conditions, which can accurately guide maintenance personnel to carry out preventive replacement, extend the service life of components and ensure unit safety.

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Abstract

This invention discloses a method, system, equipment, and medium for predicting the wear of sliding liners in wind turbine generators. The invention discretizes the continuous yaw process and calculates the dynamic equivalent contact pressure of the liner using real-time aerodynamic overturning moment to characterize the nonlinear modulation effect of wind load fluctuations on the normal pressure of the liner. Simultaneously, it combines a frictional heat generation model to calculate a transient thermal correction factor, quantifying the degradation of material wear resistance caused by temperature rise. Based on this, the actual physical yaw angle is corrected to a wear equivalent angle and historical data is accumulated. By comparing this with the material's ultimate wear threshold, the remaining life prediction result of the sliding liner is output. This invention overcomes the shortcomings of traditional linear estimation methods, significantly improving the physical realism and accuracy of liner wear prediction under complex variable operating conditions, and can effectively guide condition-based maintenance and proactive health management of the generator unit.
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