A wind turbine tower multi-dimensional state monitoring and data repairing method and system

By fitting parameters to repair historical monitoring data of wind turbine towers, the problem of time drift in settlement monitoring data was solved, achieving efficient and accurate data repair, reducing operation and maintenance costs, and improving the reliability and accuracy of monitoring data.

CN122236613APending Publication Date: 2026-06-19HUANENG RENEWABLES CORP LTD HEBEI BRANCH
View PDF 0 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
HUANENG RENEWABLES CORP LTD HEBEI BRANCH
Filing Date
2026-04-30
Publication Date
2026-06-19

AI Technical Summary

Technical Problem

In existing technologies, the settlement monitoring data of wind turbine towers is subject to time drift due to factors such as sensor drift, which causes the monitoring data to deviate from the true value, thereby triggering false alarms or masking the real fault. Furthermore, traditional repair methods are time-consuming, labor-intensive, and cannot provide retrospective repair.

Method used

By collecting historical monitoring data, the mathematical patterns of time drift are fitted using the least squares method or regression analysis algorithm. Based on the fitted parameters, the data is repaired to generate repaired monitoring data, eliminating trend drift and providing a reversible data restoration mechanism.

Benefits of technology

It enables efficient and accurate data repair without frequent on-site intervention, reduces operation and maintenance costs, improves the accuracy and reliability of monitoring data, and provides a solid foundation for fault early warning.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN122236613A_ABST
    Figure CN122236613A_ABST
Patent Text Reader

Abstract

This specification provides a method and system for multi-dimensional condition monitoring and data repair of wind turbine towers. The method includes: collecting historical monitoring data of target measuring points on the wind turbine tower, including settlement monitoring data, and storing the collected data in a server database; determining whether the amount of historical monitoring data meets the necessary conditions for data repair; when the amount of data meets the necessary conditions for data repair, selecting the target wind farm and the turbine, calculating a compensation coefficient based on the historical monitoring data, obtaining fitting parameters for data repair, and storing them in the database; and performing data repair on the time drift offset in the historical monitoring data based on the fitting parameters to generate repaired monitoring data, thereby eliminating the trend drift in the monitoring data.
Need to check novelty before this filing date? Find Prior Art