Offshore wind turbine generator set two-stage rolling maintenance method considering subsystem correlation

By constructing a comprehensive reliability model of subsystem correlation and dynamically adjusting the maintenance plan, the problems of fault coupling and wind and wave accessibility in the maintenance of offshore wind turbines were solved, achieving high reliability and low cost maintenance results.

CN121365963APending Publication Date: 2026-01-20CHONGQING UNIV
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Patent Information

Application Number
CN202511627282.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-11-07
Publication Date
2026-01-20

AI Technical Summary

Technical Problem

Existing offshore wind turbine maintenance methods fail to effectively characterize the fault coupling and degradation evolution patterns between subsystems, and neglect wind and wave accessibility, resulting in inaccurate maintenance strategies and increased failure risks and maintenance costs.

Method used

A comprehensive reliability model considering the interrelationships of subsystems is constructed. By combining the wind and wave accessibility window, the maintenance plan is dynamically adjusted. The optimal preventive and opportunistic maintenance strategies are generated through optimization algorithms to achieve rolling optimization.

Benefits of technology

This improved the accuracy and efficiency of maintenance strategies, reduced the total lifecycle maintenance cost, and enhanced the reliability and economy of offshore wind turbines.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention belongs to the technical field of wind turbine generator maintenance, and particularly relates to an offshore wind turbine generator two-stage rolling maintenance method considering subsystem correlation, which comprises the following steps: S1, constructing a comprehensive reliability model; s2, taking the minimization of the total maintenance cost in the operation cycle of the wind turbine generator as a target, and forming a target optimization problem based on the comprehensive reliability model; solving the target optimization problem to form a first-stage long-term maintenance strategy; s3, when an operation window meeting the storm accessibility condition appears, determining a subsystem of which the current reliability is lower than a preventive maintenance threshold value; s4, the opportunity maintenance benefit ratio is calculated, and if the opportunity maintenance benefit ratio is larger than a processing threshold value, advanced maintenance of the subsystem is triggered; and S5, after the advanced maintenance is executed each time, the optimal preventive maintenance time point is solved again so as to dynamically update the subsequent maintenance plan. According to the method, the fault coupling and degradation evolution law between subsystems can be accurately described, and the storm accessibility window is actively utilized to dynamically adjust the maintenance plan.
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Citation Information

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