A wind turbine low-speed shaft torque monitoring method, device and equipment

By acquiring blade root load and unit status parameters, utilizing a low-speed shaft torque load model and error compensation method, combined with a machine learning model, the low-speed shaft torque load value is calculated and cascaded protection is implemented. This solves the problem of real-time monitoring of low-speed shaft torque in wind turbine units, reduces installation costs, and improves safety and stability.

CN116085192BActive Publication Date: 2026-07-07CSIC HAIZHUANG WINDPOWER CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
CSIC HAIZHUANG WINDPOWER CO LTD
Filing Date
2023-01-18
Publication Date
2026-07-07

AI Technical Summary

Technical Problem

Existing technologies make it difficult to monitor the low-speed shaft torque of wind turbines in real time, and installing sensors directly on the low-speed shaft is costly and not feasible for mass implementation.

Method used

By acquiring blade root load and unit status parameters, and using a low-speed shaft torque load model and error compensation method, combined with a machine learning model, the low-speed shaft torque load value is calculated, and step-by-step derating protection is implemented to avoid directly installing sensors at the low-speed shaft.

Benefits of technology

It enables real-time monitoring of low-speed shaft torque of wind turbines, reduces equipment installation costs and difficulty, is suitable for batch implementation, and improves the safety and operational stability of wind turbines.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present application relates to the technical field of wind turbine load monitoring, and particularly relates to a wind turbine low-speed shaft torque monitoring method, device and equipment. By acquiring a blade root load and a unit state parameter, a low-speed shaft torque load theoretical value is obtained, error compensation is performed on the low-speed shaft torque load theoretical value, and a low-speed shaft torque load value is obtained. In this way, a sensor does not need to be installed at the low-speed shaft, and the low-speed shaft torque load value can be obtained according to the blade root load and the unit state parameter, so that real-time monitoring of the low-speed shaft torque of the wind turbine in a service state can be realized. Meanwhile, the wind turbine is gradually capacity-reduced and protected according to the low-speed shaft torque load value, so that the safe operation of the wind turbine is ensured, and the safety of the wind turbine is improved.
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