Wind turbine generator maintenance method and device, computer equipment and storage medium

CN119228365AInactive Publication Date: 2024-12-31CHINA THREE GORGES CORPORATION
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Patent Information

Application Number
CN202411484789.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-10-23
Publication Date
2024-12-31
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

Existing wind turbine maintenance methods lead to excessive maintenance costs due to frequent regular maintenance based on experience, lacking a systematic approach to identify and address critical equipment failures.

Method used

A reliability-centered maintenance method that identifies important functional equipment, analyzes fault data sets, and determines preventive maintenance strategies based on failure modes, causes, and impacts, using FMEA and FTA to optimize maintenance cycles and reduce unnecessary maintenance.

Benefits of technology

This method effectively predicts maintenance strategies, reduces maintenance costs, and maximizes equipment reliability and operational efficiency by targeting critical components, minimizing unplanned downtime and ensuring production continuity.

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Abstract

The invention relates to the technical field of fault maintenance, and discloses a wind turbine generator maintenance method and device, computer equipment and a storage medium, and the method comprises the steps: determining an important function equipment set in a wind turbine generator; obtaining a fault data set corresponding to each important function device one by one; and based on the fault data set and a preset logic decision strategy, analyzing and deciding each fault of the important function equipment, and determining a preventive maintenance strategy and a maintenance period which are in one-to-one correspondence with each important function equipment. According to the method, reliability-centered maintenance is carried out, on the basis of macroscopic statistics and all part fault mode influence and hazard analysis, important functional equipment is deeply evaluated through comprehensive fault mode, fault reason, fault influence and hazard analysis, and important functional parts are selected for reliability-centered maintenance analysis; the maintenance strategy and the maintenance period of the equipment can be effectively predicted, and the problem of maintenance cost increase caused by frequent maintenance is avoided.
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Citation Information

Patent Citations

  • Analysis method for optimizing gas turbine overhaul and maintenance scheme

    CN104850904A

  • Maintenance decision-making method based on equipment comprehensive health condition analysis and management

    CN111160685A

  • Thermal power plant maintenance strategy making method based on RCM

    CN118428923A

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